A high-throughput and memory-efficient inference and serving engine for LLMs
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 16+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型
Everything you want to know about Google Cloud TPU
Differentiable Fluid Dynamics Package
JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs welcome).
DECIMER Image Transformer is a deep-learning-based tool designed for automated recognition of chemical structure images. Leveraging transformer architectures, the model converts chemical images into SMILES strings, enabling the digitization of chemical data from scanned documents, literature, and patents.
Benchmarking suite to evaluate 🤖 robotics computing performance. Vendor-neutral. ⚪Grey-box and ⚫Black-box approaches.
🖼 Training StyleGAN2 at scale on TPUs
EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax
Simple and efficient RevNet-Library for PyTorch with XLA and DeepSpeed support and parameter offload
EvoPose2D is a two-stage human pose estimation model that was designed using neuroevolution. It achieves state-of-the-art accuracy on COCO.
Edge TPU Accelerator / Multi-TPU + MobileNet-SSD v2 + Python + Async + LattePandaAlpha/RaspberryPi3/LaptopPC
Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944
PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"
🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX
Tutorial to pretrain & fine-tune a 🤗 Flax T5 model on a TPUv3-8 with GCP
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