This repository contains a curated list of 180+ LLM libraries category wise.
Web Page | Description | Link |
---|---|---|
Chatbot Arena | An open platform for crowdsourced AI benchmarking | Link |
SEAL | Evals and different concept model on wide variety of tasks. | Link |
Open Router | shows the top open source models on their platform, ranked by their usage (token volume). This can help you evaluate open source models by popularity. | Link |
HF-Open-llm-leaderboard | Open source model performance view | Link |
Berkeley function calling leaderboard | evaluates the LLM's ability to call functions (aka tools) accurately. | Link |
Training Frameworks
Library | Description | Link | Stars |
---|---|---|---|
unsloth | Fine-tune LLMs faster with less memory. | Link | |
PEFT | State-of-the-art Parameter-Efficient Fine-Tuning library. | Link | |
TRL | Train transformer language models with reinforcement learning. | Link | |
Transformers | Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. | Link | |
Axolotl | Tool designed to streamline post-training for various AI models. | Link | |
LLMBox | A comprehensive library for implementing LLMs, including a unified training pipeline and comprehensive model evaluation. | Link | |
LitGPT | Train and fine-tune LLM lightning fast. | Link | |
Mergoo | A library for easily merging multiple LLM experts, and efficiently train the merged LLM. | Link | |
Llama-Factory | Easy and efficient LLM fine-tuning. | Link | |
Ludwig | Low-code framework for building custom LLMs, neural networks, and other AI models. | Link | |
Txtinstruct | A framework for training instruction-tuned models. | Link | |
Lamini | An integrated LLM inference and tuning platform. | Link | |
XTuring | xTuring provides fast, efficient and simple fine-tuning of open-source LLMs, such as Mistral, LLaMA, GPT-J, and more. | Link | |
RL4LMs | A modular RL library to fine-tune language models to human preferences. | Link | |
DeepSpeed | DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. | Link | |
torchtune | A PyTorch-native library specifically designed for fine-tuning LLMs. | Link | |
PyTorch Lightning | A library that offers a high-level interface for pretraining and fine-tuning LLMs. | Link |
Training Datasets
Library | Description | Link | Stars |
---|---|---|---|
llm-datasets | Curated list of datasets and tools for post-training. | Link | |
llmDataHub | Trending instruction finetuning datasets | Link |
Web Page | Description | Link | Stars |
---|---|---|---|
Firecrawl | Empower your AI apps with clean data from any website. Featuring advanced scraping, crawling, and data extraction capabilities. | Link | |
SerpAPI | crape and parse search results from Google, Bing, Baidu, Yandex, Yahoo, Home Depot, eBay and more | Link | |
BrightData | Api to scrape data | Link |
Library | Description | Link | GitHub Stars |
---|---|---|---|
awesome-mcp | Awesome collection of MCP servers . | Link | |
mcp-containers | Containerized versions of hundreds of MCP Servers | Link | |
TaskMaster | A task management system for AI-driven development with Claude, designed to work seamlessly with Cursor AI. | Link | |
DeepMCPAgent | Model-agnostic plug-n-play LangChain/LangGraph agents powered entirely by MCP tools over HTTP/SSE. | Link |
Frameworks
Library | Description | Link | GitHub Stars |
---|---|---|---|
LangChain | LangChain is a framework for developing applications powered by large language models (LLMs). | Link | |
Llama Index | LlamaIndex is a data framework for your LLM applications. | Link | |
HayStack | Haystack is an end-to-end LLM framework that allows you to build applications powered by LLMs, Transformer models, vector search, etc. | Link | |
Prompt flow | A suite of development tools designed to streamline the end-to-end development cycle of LLM-based AI applications. | Link | |
Griptape | A modular Python framework for building AI-powered applications. | Link | |
Weave | Weave is a toolkit for developing Generative AI applications. | Link | |
Llama Stack | Build Llama Apps. | Link | |
awesom-llm-apps | curated collection of Awesome LLM apps | Link | |
LLM-from-scratch | Implement a ChatGPT-like LLM in PyTorch from scratch, step by step. official code repository for the book Build a Large Language Model (From Scratch). | Link |
Multi API Access
Note: ToDo: An absraction layer such as tool gateway, can also be useful for accessing a wide range of tools.Library | Description | Link | GitHub Stars |
---|---|---|---|
LiteLLM | Library to call 100+ LLM APIs in OpenAI format. | Link | |
AI Gateway | A Blazing Fast AI Gateway with integrated Guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API. | Link | |
llm-gateway | tracks data sent and received from these providers in a postgres database and runs PII scrubbing heuristics prior to sending. | Link | |
MLFlow AI Gateway | high-level interface that simplifies the interaction with these services by providing a unified endpoint to handle specific LLM related requests. | Link | |
TrueFoundry | It is an enterprise-grade platform that enables users to access 1000+ LLMs using a unified interface while taking care of observability and governance. | Link | |
KongHQ | Simplify AI governance and ensure compliant AI innovation across your entire organization. | Link | |
Cloudflare | Cloudflare's AI Gateway | Link |
Routers
Library | Description | Link | GitHub Stars |
---|---|---|---|
RouteLLM | Framework for serving and evaluating LLM routers - save LLM costs without compromising quality. Drop-in replacement for OpenAI's client to route simpler queries to cheaper models. | Link |
Memory
Library | Description | Link | GitHub Stars |
---|---|---|---|
mem0 | The Memory layer for your AI apps. | Link | |
Memoripy | An AI memory layer with short- and long-term storage, semantic clustering, and optional memory decay for context-aware applications. | Link |
Interface
Library | Description | Link | GitHub Stars |
---|---|---|---|
Streamlit | A faster way to build and share data apps. Streamlit lets you transform Python scripts into interactive web apps in minutes | Link | |
Gradio | Build and share delightful machine learning apps, all in Python. | Link | |
AI SDK UI | Build chat and generative user interfaces. | Link | |
AI-Gradio | Create AI apps powered by various AI providers. | Link | |
Simpleaichat | Python package for easily interfacing with chat apps, with robust features and minimal code complexity. | Link | |
Chainlit | Build production-ready Conversational AI applications in minutes. | Link | |
Reflex-dev | Best frontend stack (Contributor for it too) easy FASTAPI backed Next.js web application | Link |
Low Code
Library | Description | Link | GitHub Stars |
---|---|---|---|
LangFlow | LangFlow is a low-code app builder for RAG and multi-agent AI applications. It's Python-based and agnostic to any model, API, or database. | Link |
Cache
Library | Description | Link | GitHub Stars |
---|---|---|---|
GPTCache | A Library for Creating Semantic Cache for LLM Queries. Slash Your LLM API Costs by 10x 💰, Boost Speed by 100x. Fully integrated with LangChain and LlamaIndex. | Link |
Library | Description | Link | GitHub Stars |
---|---|---|---|
FastGraph RAG | Streamlined and promptable Fast GraphRAG framework designed for interpretable, high-precision, agent-driven retrieval workflows. | Link | |
Chonkie | RAG chunking library that is lightweight, lightning-fast, and easy to use. | Link | |
Graphiti | Graphiti is a framework for building and querying temporally-aware knowledge graphs. framework supports incremental data updates, efficient retrieval, and precise historical queries without requiring complete graph recomputation, making it suitable for developing interactive, context-aware AI applications. | Link | |
RAGChecker | A Fine-grained Framework For Diagnosing RAG. | Link | |
RAG to Riches | Build, scale, and deploy state-of-the-art Retrieval-Augmented Generation applications. | Link | |
BeyondLLM | Beyond LLM offers an all-in-one toolkit for experimentation, evaluation, and deployment of RAG systems. | Link | |
SQLite-Vec | A vector search SQLite extension that runs anywhere! | Link | |
fastRAG | fastRAG is a research framework for efficient and optimized retrieval-augmented generative pipelines. | Link | |
FlashRAG | A Python Toolkit for Efficient RAG Research. | Link | |
Llmware | Unified framework for building enterprise RAG pipelines with small, specialized models. | Link | |
Rerankers | A lightweight unified API for various reranking models. | Link | |
RAGatouille | allows us to easily use and train state-of-the-art late-interaction retrieval methods (ColBERT) in any RAG pipeline. | Link | |
ColPali | method leverages Vision-Language Models (VLMs) and the late interaction mechanism from ColBERT to enable precise cross-modal retrieval. | Link | |
Vectara | Build Agentic RAG applications. | Link | |
Morphik | Technical data extraction. Ex: What is the height of screw 14-A in the instructions? | Link | |
Memvid | Memvid compresses your knowledge base into compact video files while maintaining instant access to any piece of information. Sub-seconds retrival | Link | |
Superlinked | Building compute layer between data and vector storage. Add Metadata to the unstructured data. high-performance search & recommendation applications that combine structured and unstructured data, | Link | |
ragflow | Extraction from unstructured data with complicated formats. Visualization of text chunking to allow human intervention. | Link | |
codeRag | Bult on top of mem graph . Code understanding rag's. | Link | |
litepali | Minimal colpali for image retrival and indexing , optimized for cloud deployments. | Link | |
LightRAG | Graph driven , Simple and Fast Retrieval-Augmented Generation | Link | |
RAG-Anything | Graph driven , handles different modality well, built on Light-RAG by members of LightRAG, tables, equations,. | Link |
Library | Description | Link | GitHub Stars |
---|---|---|---|
LLM Compressor | Transformers-compatible library for applying various compression algorithms to LLMs. | Link | |
LightLLM | Python-based LLM inference and serving framework with lightweight design. | Link | |
vLLM | High-throughput and memory-efficient inference and serving engine for LLMs. | Link | |
torchchat | Run PyTorch LLMs locally on servers, desktop, and mobile. | Link | |
TensorRT-LLM | TensorRT-LLM is a library for optimizing Large Language Model (LLM) inference. | Link | |
WebLLM | High-performance In-browser LLM Inference Engine. | Link |
Library | Description | Link | GitHub Stars |
---|---|---|---|
Langcorn | Serving LangChain LLM apps and agents automagically with FastAPI. | Link | |
LitServe | Lightning-fast serving engine for any AI model of any size. | Link | |
Lorax | serve thousands of fine-tuned models on a single GPU, dramatically reducing the cost of serving without compromising on throughput or latency. | Link | |
NVIDIA Dynamo | high-throughput, low-latency inference framework for serving reasoning models like DeepSeek-R1! | Link |
Library | Description | Link | Stars |
---|---|---|---|
Crawl4AI | Open-source LLM Friendly Web Crawler & Scraper. | Link | |
ScrapeGraphAI | A web scraping Python library that uses LLM and direct graph logic to create scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown, etc.). | Link | |
Docling | Docling parses documents and exports them to the desired format with ease and speed. | Link | |
Dolphin | Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting | Link | |
Llama Parse | GenAI-native document parser that can parse complex document data for any downstream LLM use case (RAG, agents). | Link | |
Crawlee | A web scraping and browser automation library. | Link | |
MegaParse | Parser for every type of document. | Link | |
ExtractThinker | Document Intelligence library for LLMs. | Link | |
PyMuPDF4LLM | PyMuPDF4LLM library makes it easier to extract PDF content in the format you need for LLM & RAG environments. | Link | |
dots.ocr | Single Vision-Language model. dots.ocr achieves SOTA performance for text, tables, and reading order. A compact 1.7B LLM | Link | |
tensorlake | Tensorlake is a Document Ingestion API and a serverless platform for building data processing and orchestration APIs | Link | |
langextract | Optimized for long documents, Structured data extraction | Link | |
MinerU | MinerU was born during the pre-training process of InternLM. We focus on solving symbol conversion issues in scientific literature and hope to contribute to technological development in the era of large models | Link |
Library | Description | Link | Stars |
---|---|---|---|
DataDreamer | DataDreamer is a powerful open-source Python library for prompting, synthetic data generation, and training workflows. | Link | |
fabricator | A flexible open-source framework to generate datasets with large language models. | Link | |
Promptwright | Synthetic Dataset Generation Library. | Link | |
EasyInstruct | An Easy-to-use Instruction Processing Framework for Large Language Models. | Link | |
Synthetic Data Vault | Python library designed to be your one-stop shop for creating tabular synthetic data. | Link | |
Dupeguru | Tool for dat deduplication. | Link | |
Dedupe | A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution | Link | |
Datasketch | A python library for accurate and scalable fuzzy matching, datasketch gives you probabilistic data structures that can process and search very large amount of data super fast, with little loss of accuracy. | Link | |
TextDistance | 📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage. | Link | |
TheFuzz | Fuzzy string matching in python | Link | |
Google-deduplicate | repository contains code to deduplicate language model datasets as descrbed in the paper "Deduplicating Training Data Makes Language Models Better" | Link |
Agent is a system that leverages AI model to interact with its environment in order to achieve a user-defined goal. To evaluate an agent, identiy its failure modes and measure how often each of these failure modes happen.
Library | Description | Link | Stars |
---|---|---|---|
CrewAI | Framework for orchestrating role-playing, autonomous AI agents. | Link | |
LangGraph | Build resilient language agents as graphs. | Link | |
Smolagents | Library to build powerful agents in a few lines of code. | Link | |
Agno | Build AI Agents with memory, knowledge, tools, and reasoning. Chat with them using a beautiful Agent UI. | Link | |
AutoGen | An open-source framework for building AI agent systems. | Link | |
gradio-tools | A Python library for converting Gradio apps into tools that can be leveraged by an LLM-based agent to complete its task. | Link | |
Composio | Production Ready Toolset for AI Agents. | Link | |
Atomic Agents | Building AI agents, atomically. | Link | |
Memary | Open Source Memory Layer For Autonomous Agents. | Link | |
Browser Use | Make websites accessible for AI agents. | Link | |
OpenWebAgent | An Open Toolkit to Enable Web Agents on Large Language Models. | Link | |
Lagent | A lightweight framework for building LLM-based agents. | Link | |
LazyLLM | A Low-code Development Tool For Building Multi-agent LLMs Applications. | Link | |
Swarms | The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. | Link | |
ChatArena | ChatArena is a library that provides multi-agent language game environments and facilitates research about autonomous LLM agents and their social interactions. | Link | |
Swarm | Educational framework exploring ergonomic, lightweight multi-agent orchestration. | Link | |
AgentStack | The fastest way to build robust AI agents. | Link | |
Archgw | Intelligent gateway for Agents. | Link | |
Flow | A lightweight task engine for building AI agents. | Link | |
Langroid | Multi-Agent framework. | Link | |
Agentarium | Framework for creating and managing simulations populated with AI-powered agents. | Link | |
CoAgents | Framework for agents with human in the loop workflow. | Link | |
Camel-owl | 🦉 OWL is a cutting-edge framework for multi-agent collaboration that pushes the boundaries of task automation, built on top of the CAMEL-AI Framework. | Link | |
langmem | Memory management tool, to extract important information from conversations,also maintain long term memory. | Link | |
Parlant | Parlant gives you all the structure you need to build customer-facing agents that behave exactly as your business requires | Link | |
AgentScope | Designed for multi-agent, explicit message passing and workflow orchestration, NO deep encapsulation. | Link |
Library | Description | Link | GitHub Stars |
---|---|---|---|
Ragas | Ragas is your ultimate toolkit for evaluating and optimizing Large Language Model (LLM) applications. | Link | |
Giskard | Open-Source Evaluation & Testing for ML & LLM systems. | Link | |
DeepEval | LLM Evaluation Framework | Link | |
G-BigBench | Evaluate the performance on more than 200 tasks included in BIG-bench are | Link | |
Lighteval | All-in-one toolkit for evaluating LLMs. | Link | |
Trulens | Evaluation and Tracking for LLM Experiments | Link | |
PromptBench | A unified evaluation framework for large language models. | Link | |
LangTest | Deliver Safe & Effective Language Models. 60+ Test Types for Comparing LLM & NLP Models on Accuracy, Bias, Fairness, Robustness & More. | Link | |
EvalPlus | A rigorous evaluation framework for LLM4Code. | Link | |
FastChat | An open platform for training, serving, and evaluating large language model-based chatbots. | Link | |
judges | A small library of LLM judges. | Link | |
Evals | Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks. | Link | |
AgentEvals | Evaluators and utilities for evaluating the performance of your agents. | Link | |
LLMBox | A comprehensive library for implementing LLMs, including a unified training pipeline and comprehensive model evaluation. | Link | |
Opik | An open-source end-to-end LLM Development Platform which also includes LLM evaluation. | Link | |
Camel-ai | Simulate up to 1M agents to study emergent behaviors and scaling laws in complex, multi-agent environments. | Link | |
Evidently | An open-source framework to evaluate, test and monitor ML and LLM-powered systems. | Link | |
NammyML | Non LLM . Allows you to estimate post-deployment model performance (without access to targets), detect data drift, and intelligently link data drift alerts back to changes in model performance. | Link | |
HELM | Holistic Evaluation of Language Models (HELM) . Metrics for measuring various aspects beyond accuracy (e.g. efficiency, bias, toxicity) | Link | |
TravelPlanner | TravelPlanner is a benchmark crafted for evaluating language agents in tool-use and complex planning within multiple constraints. | Link | |
OmniDocBench | A comprehensive benchmark for document parsing and evaluation | Link |
A tool that helps you evaluate on multiple benchmarks is an evaluation harness
Library | Description | Link | GitHub Stars |
---|---|---|---|
ElutherAI | Support over 400 benchmarks | Link | |
Openai-evals | Run any of the approximately 500 existing benchmarks and also register a new benchmark to evaluate OpenAI models. Benchmark evaluates on math, problem solving, puzzles, Identify ASCII | Link | |
AgentOps | Python SDK for AI agent monitoring and evaluation. | Link | |
AIVerify-moonshot | A simple and modular tool to evaluate and red-team any LLM application. | Link |
Library | Description | Link | Stars |
---|---|---|---|
Opik | An open-source end-to-end LLM Development Platform which also includes LLM monitoring. | Link | |
LangSmith | Provides tools for logging, monitoring, and improving your LLM applications. | Link | |
Weights & Biases (W&B) | W&B provides features for tracking LLM performance. | Link | |
Helicone | Open source LLM-Observability Platform for Developers. One-line integration for monitoring, metrics, evals, agent tracing, prompt management, playground, etc. | Link | |
Evidently | An open-source ML and LLM observability framework. | Link | |
Phoenix | An open-source AI observability platform designed for experimentation, evaluation, and troubleshooting. | Link | |
Observers | A Lightweight Library for AI Observability. | Link |
Library | Description | Link | Stars |
---|---|---|---|
PCToolkit | A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Models. | Link |
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LLMLingua | Library for compressing prompts to accelerate LLM inference. | Link | |
betterprompt | Test suite for LLM prompts before pushing them to production. | Link | |
Promptify | Solve NLP Problems with LLMs & easily generate different NLP Task prompts for popular generative models like GPT, PaLM, and more with Promptify. | Link | |
DSPy | DSPy is the open-source framework for programming—rather than prompting—language models. | Link | |
Py-priompt | Prompt design library. | Link | |
Promptimizer | Prompt optimization library. | Link | |
OpenPrompt | Various of prompting methods, including templating, verbalizing and optimization strategies under a unified standard. You can easily call and understand these methods. Design your own prompt-learning work | Link | |
TextGrad | Optimize prompts with AI | Link | |
PromptWizard | framework that employs a self-evolving mechanism where the LLM generates, critiques, and refines its own prompts and examples, continuously improving through iterative feedback and synthesis. | Link | |
AutoPrompt | effectively addresses common issues such as prompt sensitivity and inherent prompt ambiguity issues. | Link |
Library | Description | Link | Stars |
---|---|---|---|
Instructor | Python library for working with structured outputs from large language models (LLMs). Built on top of Pydantic, it provides a simple, transparent, and user-friendly API. | Link | |
XGrammar | An open-source library for efficient, flexible, and portable structured generation. | Link | |
Outlines | Robust (structured) text generation | Link | |
Guidance | Guidance is an efficient programming paradigm for steering language models. | Link | |
LMQL | A language for constraint-guided and efficient LLM programming. | Link | |
Jsonformer | A Bulletproof Way to Generate Structured JSON from Language Models. | Link |
Metrics for evaluating systems robustness to prompt attacks:
Violation Rate : Measures percentage of successfull attacks out of all attack attempts
False Refusal Rate : How often a model refuses a query when it's possible to answer safely
Library | Description | Link | Stars |
---|---|---|---|
JailbreakEval | A collection of automated evaluators for assessing jailbreak attempts. | Link | |
EasyJailbreak | An easy-to-use Python framework to generate adversarial jailbreak prompts. | Link | |
Guardrails | Adding guardrails to large language models. | Link | |
LLM Guard | The Security Toolkit for LLM Interactions. | Link | |
AuditNLG | AuditNLG is an open-source library that can help reduce the risks associated with using generative AI systems for language. | Link | |
NeMo Guardrails | NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems. | Link | |
Garak | LLM vulnerability scanner | Link | |
Azure-PyRIT | Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems. | Link | |
greshake-llm-security | new class of vulnerabilities and impacts stemming from "indirect prompt injection" | Link | |
persuasive_jailbreaker | Persuasive Adversarial Prompts are human-readable, achieving a 92% Attack Success Rate on aligned LLMs, without specialized optimization. | Link | |
DeepTeam | simulate adversarial attacks using SOTA techniques such as jailbreaking and prompt injections, to catch vulnerabilities like bias and PII Leakage that you might not otherwise be aware of. | Link | |
PurpleLlama | Set of tools to assess and improve LLM security. | Link | |
Azure AI content filter | Detect and mitigate harmful content in users-generated and AI-generated inputs and outputs. Including text, images and media mix | Link | |
G-PerspectiveAPI | Conversation toxicity detections. | Link | |
OpenAI-content moderation | Use the moderations endpoint to check whether text or images are potentially harmful. | Link |
Library | Description | Link | Stars |
---|---|---|---|
AdvBench | Code and data of the EMNLP 2022 paper | Link |
Library | Description | Link | Stars |
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Sentence-Transformers | State-of-the-Art Text Embeddings | Link | |
Model2Vec | Fast State-of-the-Art Static Embeddings | Link | |
Text Embedding Inference | A blazing fast inference solution for text embeddings models. TEI enables high-performance extraction for the most popular models, including FlagEmbedding, Ember, GTE and E5. | Link | |
EmbedAnything | A Rust based super fast makes generating embeddings from multiple sources like image, video, or audio easy. | Link |
Library | Description | Link | Stars |
---|---|---|---|
Text Machina | A modular and extensible Python framework, designed to aid in the creation of high-quality, unbiased datasets to build robust models for MGT-related tasks such as detection, attribution, and boundary detection. | Link | |
LLM Reasoners | A library for advanced large language model reasoning. | Link | |
EasyEdit | An Easy-to-use Knowledge Editing Framework for Large Language Models. | Link | |
CodeTF | CodeTF: One-stop Transformer Library for State-of-the-art Code LLM. | Link | |
spacy-llm | This package integrates Large Language Models (LLMs) into spaCy, featuring a modular system for fast prototyping and prompting, and turning unstructured responses into robust outputs for various NLP tasks. | Link | |
pandas-ai | Chat with your database (SQL, CSV, pandas, polars, MongoDB, NoSQL, etc.). | Link | |
LLM Transparency Tool | An open-source interactive toolkit for analyzing internal workings of Transformer-based language models. | Link | |
Vanna | Chat with your SQL database. Accurate Text-to-SQL Generation via LLMs using RAG. | Link | |
mergekit | Tools for merging pretrained large language models. | Link | |
MarkLLM | An Open-Source Toolkit for LLM Watermarking. | Link | |
LLMSanitize | An open-source library for contamination detection in NLP datasets and Large Language Models (LLMs). | Link | |
Annotateai | Automatically annotate papers using LLMs. | Link | |
LLM Reasxoner | Make any LLM think like OpenAI o1 and DeepSeek R1. | Link | |
Claude-code-templates | CLI tool for configuring and monitoring Claude Code. | Link | |
Awesome-LLM | Curated list of open source and other tool an awesome collection | Link | |
Awesome-multimodal-LLM | Latest advances on multi modal LLMs | Link | |
Awesome-ai-agents | List of AI autonomous agents | Link | |
DDODS-ai-agents | tutorials on LLMs, RAGs and real-world AI agent applications | Link | |
G-adk-samples | A collection of sample agents built with Agent Development Kit | Link | |
open-llms | list of open LLM's | Link |
Webpage | Description | Link | Docs |
---|---|---|---|
Paper2code | PaperCoder is a multi-agent LLM system that transforms paper into a code repository. It follows a three-stage pipeline: planning, analysis, and code generation, each handled by specialized agents. | Link | |
Flora Fauna | Creative tool to make images into animation and other creative prototypes | Link | Docs |
Story Doc | Easily create stunning, interactive slide decks that increase engagement. Cool pitch or slide making. | Link | |
Superblocks | SAAS app builder .competitor with reflex-build | Link | |
OpenSearch | OpenSearch is a distributed search and analytics engine based on Apache Lucene. | Link | |
Milvus | A high performance and scalable vector database for ANN search | Link | |
LEANN | Vector database, lightweight and less memory usage. Chat with your browser history. Perfect for local files. | Link | |
Rasa | Open source machine learning framework to automate text- and voice-based conversations | Link |
Library | Description | Link | Stars |
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Hands-On-Large-Language-Models | Official code repo for the O'Reilly Book - "Hands-On Large Language Models" | Link |
Library | Description | Link | Stars |
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Hunyuan3D | High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models. | Link | |
Supervision | reusable computer vision tools. | Link | |
PartCrater | Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers | Link |
I enjoy reading good technical blogs. Here are some of my frequent go-to engineering blogs.
- LinkedIn Engineering Blog
- Engineering Blog - DoorDash
- Engineering | Uber Blog
- The Unofficial Google Data Science Blog
- Pinterest Engineering Blog – Medium
- Netflix TechBlog
- Blog | LMSYS Org
- Blog | Anyscale
- Data Science and ML | Databricks Blog
- Together Blog
- Duolingo Engineering
- ML Technique
- Nvidia Research lab
- Karpathy's blog
- The G AI Blog
- Pytorch Sebastian
- Lilian Weng
- Hammel for MLOps
- ai by hand - Tom Yeh
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