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annotated_deep_learning_paper_implementations

🧑‍🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, etc. 🧠

awesome-deep-learning-papers

The most cited deep learning papers

awesome-imbalanced-learning

A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习：论文、代码、框架与库

awesome-knowledge-distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

bite-gcn

Source code of "WSDM21 - BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks"

cgail

This repository contains code and data for the paper of conditional generative adversarial imitation learning (cGAIL) accepted by ICDM2019.

check-777.github.io

cikm-2019-analyticup

1st Solution for 2019-CIKM-Analyticup: Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

geom-gcn

gnn4nlp-papers

A list of recent papers about Graph Neural Network methods applied in NLP areas.

icdm2019_dm251

Source code of ICDM 2019 Paper DM251

lightgcn-implicit-dgl

machine-learning-session

nlp-conferences-code

NLP-Conferences-Code (ACL、EMNL、NAACL、COLING、AAAI、IJCAI)

pico

PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984

pwc

Papers with code. Sorted by stars. Updated weekly.

recommender-system-with-tf2.0

Recurrence the recommender paper with Tensorflow2.0

recommender-systems-competition-topsolutions

推荐系统竞赛TOP开源解决方案汇总。

sdne

Reimplementation of SDNE by Pytorch. The paper is "Structural Deep Network Embedding".

torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆20 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.