sankethvedula

the-algorithm

Source code for Twitter's Recommendation Algorithm

ml-engineering

Machine Learning Engineering Open Book

annotated_latex_equations

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

esm

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

snap

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

theseus

A library for differentiable nonlinear optimization

tigramite

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

jaxopt

Hardware accelerated, batchable and differentiable optimizers in JAX.

nflows

Normalizing flows in PyTorch

MTTR

pytorch-softdtw-cuda

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

localcolabfold

ColabFold on your local PC

SCNeRF

[ICCV21] Self-Calibrating Neural Radiance Fields

mace

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

neural-subgraph-learning-GNN

Laplacians.jl

Algorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.

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)

EnbPI

Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction for time-series (journal, IEEE TPAMI)

openmm-ml

High level API for using machine learning models in OpenMM simulations

paste

Probabilistic Alignment of Spatial Transcriptomics Experiments

Wasserstein2GenerativeNetworks

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

Wasserstein2Benchmark

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

neural-scs

Neural Fixed-Point Acceleration for Convex Optimization

latentis

A Python package for analyzing and transforming neural latent spaces.

pytorch2jax

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

COOD_benchmarking

structuremap_analysis

Analysis workflow for investigating the structural context of PTMs

learningBF-US

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

sparsification

lipras

A fast and scalable backbone assignment algorithm for NMR