mjcrock

mathlib4

The math library of Lean 4

SciSciNet

A large-scale open data lake for the science of science research.

rocket-fft

Rocket-FFT makes Numba aware of numpy.fft and scipy.fft. Rocket-FFT takes its name from the PocketFFT Fast Fourier Transformation library that powers it, and Numba's goal of making your scientific Python code blazingly fast - like a rocket. 🚀

binary_gan_demo

template

This is the repository for the distill web framework

VRNetzer

A Virtual Reality platform for interactive, immersive network exploration.

JetBrainsMono

JetBrains Mono – the free and open-source typeface for developers

thinc

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

cryptanalytic-model-extraction

biopandas

Working with molecular structures in pandas DataFrames

zstd

Zstandard - Fast real-time compression algorithm

h3

Hexagonal hierarchical geospatial indexing system

spec

The canonical spec for ulid

onnx

Open standard for machine learning interoperability

Machine-learning-for-proteins

Listing of papers about machine learning for proteins.

dask-ml

Scalable Machine Learning with Dask

YLearn

YLearn, a pun of "learn why", is a python package for causal inference

cvnn

Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end

galois

A performant NumPy extension for Galois fields and their applications

ProtTrans

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

UQpy

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

causallib

A Python package for modular causal inference analysis and model evaluations

MMseqs2

MMseqs2: ultra fast and sensitive search and clustering suite

esm

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

nonlinear-core-periphery

Code used for the paper "A nonlinear spectral method for core-periphery detection in networks" by F. Tudisco and D. J. Higham

country-tools-back-end

globe

The Globe of Economic Complexity

growth-lab-app-front-end

Front-end repo for Harvard Growth Lab's digital hub

ProteinMPNN

Code for the ProteinMPNN paper

particles.js

A lightweight JavaScript library for creating particles