A Collection of Variational Autoencoders (VAE) in PyTorch.

Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""

[CVPR2020] Adversarial Latent Autoencoders

Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization

Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.

TensorFlow implementation of Independently Recurrent Neural Networks

Easy generative modeling in PyTorch

LLaMA 2 implemented from scratch in PyTorch

Implementation of character based convolutional neural network

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.

Tensorflow implementation of Neural Scene Representation and Rendering

ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining

Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]

Plant Disease Identification Using Convulutional Neural Network

Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831

A PyTorch implementation of SRNTT, which is a novel RefSR method.

Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."

Implementation of the paper "Improved DeepFake Detection Using Whisper Features"