https://opencatalystproject.org/

🧠 A quick recipe to learn all about Transformers

The "Python Machine Learning (3rd edition)" book code repository

💊 A 3D Generative Model for Structure-Based Drug Design (NeurIPS 2021)

Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952

Machine learning, in numpy

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Python package for graph neural networks in chemistry and biology

Applied Deep Learning

Platform for designing and evaluating Graph Neural Networks (GNN)

[ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhangyang Wang

Solutions to LeetCode problems; updated daily. Subscribe to my YouTube channel for more.

Official Repository of "Graph Mixture Density Networks" (ICML 2021)

A complete computer science study plan to become a software engineer.

All Algorithms implemented in Python

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

A curated list of awesome Deep Learning tutorials, projects and communities.

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

machine learning and deep learning tutorials, articles and other resources

Simple Graph Neural Networks(GNN) Tutorials Zero to ALL

A library for graph deep learning research

MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.

Command line Python scripts

Scalable Graph Neural Networks with Deep Graph Library

A comprehensive reference for all topics related to Natural Language Processing

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data