Deep universal probabilistic programming with Python and PyTorch

Sampling profiler for Python programs

An experimental language for causal reasoning

Machine Learning algorithm implementations from scratch.

Quantitative Interview Preparation Guide, updated version here ==>

Quant prep resources/logs

Python compiler

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

Advanced random forest methods in Python

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A library of sklearn compatible categorical variable encoders

Brain Imaging Data Structure (BIDS) Specification

Network Analysis in Python

Sphinx extension for automatic generation of an example gallery

Simple Python interface for Graphviz

Lint Cython files

Manipulate JSON-like data with NumPy-like idioms.

Hidden Markov Models in Python, with scikit-learn like API

A powerful financial data module used for pulling data from Yahoo Finance. This module can pull fundamental and technical data for stocks, indexes, currencies, cryptos, ETFs, Mutual Funds, U.S. Tre…

cuML - RAPIDS Machine Learning Library

Python package for (conditional) independence testing and statistical functions related to causality.

Compatibility layer for NumPy to support the Array API

Developer tool for scientific Python libraries

Results of scikit-learn asv benchmarks

🤔 A grounder and solver for logic programs.

NumPy aware dynamic Python compiler using LLVM

Meson PEP 517 Python build backend

C++ Package Manager

XSparse is an experimental XTensor-like C++ sparse-array library.

🚀 Kick-start your C++! A template for modern C++ projects using CMake, CI, code coverage, clang-format, reproducible dependency management and much more.