check-777's repositories
NLP-Conferences-Code
NLP-Conferences-Code (ACL、EMNL、NAACL、COLING、AAAI、IJCAI)
Recommender-Systems-Competition-TopSolutions
推荐系统竞赛TOP开源解决方案汇总。
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.
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
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
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
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.