Pinned Repositories
ACKRec
gcn
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Graphormer
Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.
LightGCN-PyTorch
The PyTorch implementation of LightGCN
Microsoft_recommenders
Best Practices on Recommendation Systems
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
QRec
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
SGL-TensorFlow
copied
Graph_DL
Python package built to ease deep learning on graph, on top of existing DL frameworks.
WHUTwyz's Repositories
WHUTwyz/pykt-toolkit
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models
WHUTwyz/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
WHUTwyz/QRec
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
WHUTwyz/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
WHUTwyz/annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
WHUTwyz/Microsoft_recommenders
Best Practices on Recommendation Systems
WHUTwyz/Graph_DL
Python package built to ease deep learning on graph, on top of existing DL frameworks.
WHUTwyz/Graphormer
Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.
WHUTwyz/LightGCN-PyTorch
The PyTorch implementation of LightGCN
WHUTwyz/SGL-TensorFlow
copied
WHUTwyz/machinelearning_ljp
Fork from ljp blogs and code for machine learning. http://cnblogs.com/pinard
WHUTwyz/WordRecite
WHUTwyz/ACKRec
gcn
WHUTwyz/LifeGame
生命游戏（定时刷新）
WHUTwyz/testRepo
create for experiment