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awesome

😎 Awesome lists about all kinds of interesting topics

awesome-deepmoleculer

awesome-dynamicgraphlearning

Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

awesome-gpt

Awesome papers, datasets and projects about the study of large language models like GPT-3, GPT-3.5, ChatGPT, GPT-4, etc.

awesome-nodejs

:zap: Delightful Node.js packages and resources

cs229t

Statistical Learning Theory (CS229T) Lecture Notes

dgl-sessrec

Session-based Recommendation with Deep Graph Library

dim

Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

directau

KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering

disengraphrep

git-stats

github-readme-stats

:zap: Dynamically generated stats for your github readmes

gng-ode

GNG-ODE

gnnpapers

Must-read papers on graph neural network (GNN)

graph_nets

Build Graph Nets in Tensorflow

graphsage

Representation learning on large graphs using stochastic graph convolutions.

heterorewire

A heterogeneous graph rewiring method to boost the performance of GNNs on HG.

interview

Interview = 简历指南 + LeetCode + Kaggle

jgcf

A simple, efficient and effective Jacobi polynomial-based graph collaborative filtering algorithm.

learn-to-probabilistic-machine-learning

The book created by GJY

learning-to-learn

Learning to Learn in TensorFlow

netwalk

nrlpapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

opencoursecatalog

Bilibili 公开课目录

openne

An Open-Source Package for Network Embedding (NE)

pot

Python Optimal Transport library

pot_pytorch

Pytorch Optimal Transport Library

prml

PRML algorithms implemented in Python

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

react

[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models