#machine-learning

torchax is a PyTorch frontend for JAX. It gives JAX the ability to author JAX programs using familiar PyTorch syntax. It also provides JAX-Pytorch interoperability, meaning, one can mix JAX & Pytorch syntax together when authoring ML programs, and run it in every hardware JAX can run.

AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding

The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

The nnsight package enables interpreting and manipulating the internals of deep learned models.

Unified, high-performance computer vision tracking library

The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

A library of extension and helper modules for Python's data analysis and machine learning libraries.

OpenCV wrapper for .NET

Base classes for creating scikit-learn-like parametric objects, and tools for working with them.

X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.

A Python toolkit for pathology image analysis algorithms.

High-performance automatic differentiation of LLVM and MLIR.

Fast algebraic modeling and mathematical optimization in Python

Feature engineering and selection open-source Python library compatible with sklearn.

Tensor library for machine learning

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

Fit interpretable models. Explain blackbox machine learning.

Python SDK to interact with the Hopsworks API

oj! Algorithms - Open Source Java library for mathematics, linear algebra and optimisation. Pure Java, zero dependencies: fast matrices plus LP, QP and MIP solvers.

Next Generation Machine Learning, Statistics and Deep Learning in PURE Rust

AI-Powered Photos App 🌈💎✨

Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

A library of Reversible Data Transforms

skops is a Python library helping you share your scikit-learn based models and put them in production

🎛 🔊 A Python library for audio.

Gaussian processes in JAX and Equinox.

The machine learning toolkit for time series analysis in Python

Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)

Reservoir computing utilities for scientific machine learning (SciML)