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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.⭐⭐⭐

graph_dl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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.

lifegame

生命游戏（定时刷新）

lightgcn-pytorch

The PyTorch implementation of LightGCN

machinelearning_ljp

Fork from ljp blogs and code for machine learning. http://cnblogs.com/pinard

microsoft_recommenders

Best Practices on Recommendation Systems

pykt-toolkit

pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models

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

testrepo

create for experiment

wordrecite