Chloey Sun's Projects
AI education materials for Chinese students, teachers and IT professionals.
Thesis repository on neural ordinary differential equations used for coarse-graining molecular dynamics
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming (ICML'21)
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
This repository contains implementations and illustrative code to accompany DeepMind publications
The code for NeurIPS 2023 paper DSR
[CVPR2023] EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
A fast MoE impl for PyTorch
帮助初学者快速入门生物信息学必备技能的网络资源
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Must-read papers on graph neural networks (GNN)
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.
A start of my GitHub journey
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
First two problems of my Master's Thesis on Coarse-Graining of Molecular Dynamics with Neural Ordinary Differential Equations
a script for extracting features from pdb data
Trainable PyTorch reproduction of AlphaFold 2
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
Computes a molecular graph for protein structures.
🎨 Python Echarts Plotting Library
Just use pyecharts to imitate Echarts official example.