Tool suite for HGVS variant descriptions

GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

Inference code for PoET: A generative model of protein families as sequences-of-sequences

Code and sample data for the MSK-CHORD manuscript (public version)

Cell Painting Gallery

Modeling complex perturbations with CellFlow

The Power of Two: integrating deep diffusion models and variational autoencoders for single-cell transcriptomics analysis

A Permutation-Invariant Set Autoencoder

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

torchview: visualize pytorch models

Direct estimation of mean and covariance from single cell RNA seq experiments

Helpful tools and examples for working with flex-attention

Single cell perturbation prediction

Learning Single-Cell Perturbation Responses using Neural Optimal Transport

A tool for semi-automatic cell type classification

Arc Virtual Cell Atlas

A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to represent new studies without additional training.

scPerturb: A resource and a python/R tool for single-cell perturbation data

GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

Hydra is a framework for elegantly configuring complex applications

Electronic Health Record Analysis with Python.

The JSON file for the ICD-9-CM and ICD-10-CM hierarchy, including diagnosis codes and procedure codes