A trainable PyTorch reproduction of AlphaFold 3.

StructureFlow: Simulation-free Structure Learning for Stochastic Dynamics

《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version in translation

Software Design by Example: a tool-based introduction with Python

Ankh: Optimized Protein Language Model

Protein structure datasets for machine learning.

Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

A summary of related works about flow matching, stochastic interpolants

Pytorch implementation of convolutional neural network visualization techniques

Code repository for Trajectory Flow Matching

A curated list of resources about generative flow networks (GFlowNets).

Benchmarks for moscot

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Method and Important Sampling