A curated list of awesome responsible machine learning resources.

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…

A library for mechanistic interpretability of GPT-style language models

Stable Diffusion with Core ML on Apple Silicon

A lite implementation of tfmodisco, a motif discovery algorithm for genomics experiments.

Images and other data from the JUMP Cell Painting Consortium

Getting started with diffusion

Matrix manipulation and computation library

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Exploring the "dusk matter" of the RNA virosphere

Ultra-deep search for novel viruses

Scrape the Twitter Frontend API without authentication.

Node puppeteer script to screenshot tweets and grab the inner text and date text

Various implementations of the classical SIR model in Julia

TreeSwift: Fast tree module for Python 3

Code for simulating the metapopulation SEIR model. Sample network for US national simulation included.

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

A tool for exploring large trees in the browser

Underlying SEIR simulator for the YYG / covid19-projections.com model

Estimating Epidemic Growth Rates

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

SARS-CoV-2 variant calling and consensus assembly pipeline

A SARS-CoV-2 Mutation Pattern Query Tool

Repository for suggesting new lineages that should be added to the current scheme

Ultrafast Sample Placement on Existing Trees

Reference-based consensus creation

Python Toolkit for using containerized programs in either Singularity or Docker