Yuanqing Wang's Projects
calculate the atom-wise free energy contribution using FEP
A preprint server for writers
Automatic Proposal of Equivariant Models
JAX - A curated list of resources https://github.com/google/jax
Repository for benchmarking graph neural networks
Bayesian Kernel Learning on Nodes
Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
Bayesian Reasoning on Networks
Chemoinformatics Oracles for LLM Training
Folding@home COVID-19 efforts
Python package built to ease deep learning on graph, on top of existing DL frameworks.
JAX backend of DGL
Implementation of EGNN (E(n) Equivariant Graph Neural Networks, https://arxiv.org/pdf/2102.09844.pdf) using DGL
ENG110: Freshman Composition @ City College of New York
A beautiful svg + png + sass + css collection of 261 flags.
Flax is a neural network library for JAX that is designed for flexibility.
Class Website of Foundations of Data Science
Graph Auto-Encoder in PyTorch
Graph Learning with JAX
Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch
Gemini is a modern LaTex beamerposter theme 🖼
implementation of popular generative models
Graph theory tasks for LLMs