ajcr / 100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

FirmwareVersion / choravox

Offline multi-speaker meeting-speech toolkit: planted-ground-truth synthetic meeting factory, VAD, speaker embeddings, diarization (AHC/spectral/VB-HMM), overlap detection, CTC speaker-attributed ASR, cpWER/DER/JER evaluation, online streaming mode, deterministic reports. NumPy core, CPU-only torch extra.

pytorch / pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Asabeneh / 30-Days-Of-Python

The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

jax-ml / jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

lutzroeder / netron

Visualizer for neural network, deep learning and machine learning models

numpy / numpy

The fundamental package for scientific computing with Python.

huggingface / datasets

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

bbfamily / abu

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

exaloop / codon

A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support

unifyai / ivy

Convert Machine Learning Code Between Frameworks

dask / dask

Parallel computing with task scheduling

cupy / cupy

NumPy & SciPy for GPU

numba / numba

NumPy aware dynamic Python compiler using LLVM

fossasia / visdom

Tool for real-time visualization, monitoring and collaborative analysis of AI/ML experiments and live data. Supports Python, PyTorch/Torch, NumPy, TensorFlow/Keras https://visdom.dev

ijl / orjson

Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy

HIPS / autograd

Efficiently computes derivatives of NumPy code.

biolab / orange3

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

dusty-nv / jetson-containers

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

tensorflow / datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

pyqtgraph / pyqtgraph

Fast data visualization and GUI tools for scientific / engineering applications

pydata / xarray

N-D labeled arrays and datasets in Python

dpilger26 / NumCpp

C++ implementation of the Python Numpy library

xtensor-stack / xtensor

C++ tensors with broadcasting and lazy computing

napari / napari

napari: a fast, interactive, multi-dimensional image viewer for python

pyro-ppl / numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

sergree / matchering

🎚️ Open Source Audio Matching and Mastering

pydata / numexpr

Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more

Tanu-N-Prabhu / Python

This repository helps you learn Python and Machine Learning from scratch.

neonwatty / machine-learning-refined

Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.

ahmedfgad / GeneticAlgorithmPython

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

ashvardanian / NumKong

SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐

xhluca / bm25s

Fast BM25 search in Python, powered by Numpy and Numba

tensorly / tensorly

TensorLy: Tensor Learning in Python.

JuliaPy / PyCall.jl

Package to call Python functions from the Julia language

SciSharp / NumSharp

High Performance Computation for N-D Tensors in .NET, identical API to NumPy.

PyO3 / rust-numpy

PyO3-based Rust bindings of the NumPy C-API

3dg1luk43 / ha_washdata

Home Assistant integration for smart-plug appliance monitoring: detects cycles, matches programs, estimates time remaining. Supports washing machines, dryers, dishwashers and more.

fortran-lang / stdlib

Fortran Standard Library

pydata / bottleneck

Fast NumPy array functions written in C

K3D-tools / K3D-jupyter

WebGL 3D plotting for Jupyter: meshes, isosurfaces, volumes, voxels and point clouds from NumPy arrays, with a path-traced cinematic renderer.

numpy / x86-simd-sort

C++ template library for high performance SIMD based sorting algorithms

SALib / SALib

Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

dgasmith / opt_einsum

⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.

scikit-hep / awkward

Manipulate JSON-like data with NumPy-like idioms.

ekzhang / jax-js

JAX in JavaScript – ML library for the web, running on WebGPU & Wasm

luispedro / mahotas

Computer Vision in Python

bastibe / python-soundfile

SoundFile is an audio library based on libsndfile, CFFI, and NumPy

Unidata / netcdf4-python

netcdf4-python: python/numpy interface to the netCDF C library

sdan / vlite

fastest vector database made in numpy

wolph / numpy-stl

Simple library to make working with STL files (and 3D objects in general) fast and easy.

numpy / numpy-tutorials

NumPy tutorials & educational content in notebook format

cgohlke / tifffile

Read and write TIFF files.

pydata / sparse

Sparse multi-dimensional arrays for the PyData ecosystem

capitalone / datacompy

Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!

blue-yonder / turbodbc

Turbodbc is a Python module to access relational databases via the Open Database Connectivity (ODBC) interface. The module complies with the Python Database API Specification 2.0.

ahmedfgad / NumPyCNN

Building Convolutional Neural Networks From Scratch using NumPy

opendatacube / datacube-core

Open Data Cube analyses continental scale Earth Observation data through time

TrenTorch / TrenTorch

Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning

OpSafari / hypoarena

Scientific hypothesis-discovery workbench: grounded hypothesis-evidence graphs, synthetic literature with planted causal chains, generate-debate-evolve loops over pluggable offline adapters, Elo tournaments recovering planted skill order, paraphrase dedup, Bayesian evidence accumulation, reproducible reports. NumPy core, CPU-only torch extra.