sankethvedula

torch_interpolations

Interpolation routines in Pytorch.

GWTune

riemannian-metric-learning-ot

GeneTrajectory

R implementation of GeneTrajectory

schedule_free

Schedule-Free Optimization in PyTorch

lipras

A fast and scalable backbone assignment algorithm for NMR

pytorch-softdtw-cuda

Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch

structuremap_analysis

Analysis workflow for investigating the structural context of PTMs

openmm-ml

High level API for using machine learning models in OpenMM simulations

paste

Probabilistic Alignment of Spatial Transcriptomics Experiments

COOD_benchmarking

localcolabfold

ColabFold on your local PC

latentis

A Python package for analyzing and transforming neural latent spaces.

ml-engineering

Machine Learning Engineering Open Book

mace

MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.

sparsification

pytorch2jax

Pytorch2Jax is a small Python library that provides functions that wraps PyTorch models into Jax functions and Flax modules.

the-algorithm

Source code for Twitter's Recommendation Algorithm

pp5

Estimation, comparison and data collection for protein backbone angle distributions

learningBF-US

Code for the paper: Learning beamforming in ultrasound imaging, MIDL 2019

tigramite

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

Extended-Analytic-DPM

Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (ICML 2022), and a reimplementation of Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models (ICLR 2022)

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

Wasserstein2Benchmark

A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)

Wasserstein2GenerativeNetworks

PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)

neural-subgraph-learning-GNN

annotated_latex_equations

Examples of how to create colorful, annotated equations in Latex using Tikz.

nflows

Normalizing flows in PyTorch

theseus

A library for differentiable nonlinear optimization

MTTR