#machine-learning

Rust bindings for the C++ api of PyTorch.

:rocket: Metadata tracking and UI service for Metaflow!

Shared Python utilities used across the TabPFN ecosystem — data helpers, regression result handling, cost estimation, and optional telemetry.

Опис репозиторію не опубліковано.

Опис репозиторію не опубліковано.

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Fast, offline OCR for Node.js & C++. PP-OCRv6 with Core ML / WebGPU hardware acceleration — recognize text in images with confidence scores & coordinates. npm: @arcships/light-ocr

OxiZ is a high-performance Satisfiability Modulo Theories (SMT) solver written entirely in Rust. This project is part of an initiative to reimplement Z3 in Pure Rust. Pure Rust is a fundamental requirement - no C/C++ dependencies, no FFI bindings, just clean, safe Rust code.

ruptures: change point detection in Python

NSFW detection on the client-side via TensorFlow.js

A server-side JavaScript/TypeScript library for interacting with the Isaacus API.

.NET library for on-demand local AI model inference — zero bundled models, lazy loading, hardware-aware GPU/CPU selection, 10 task types including embeddings, generation, vision, and audio.

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

Hootenanny conflates multiple maps into a single seamless map.

A high performance implementation of HDBSCAN clustering.

A JAX backend for Apple Metal Performance Shaders (MPS), enabling GPU-accelerated JAX computations on Apple Silicon.

Ai training toolkit

Visual storytelling for deep learning training runs.

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

SBX: Stable Baselines Jax (SB3 + Jax) RL algorithms

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Pre-trained Neural Network models in Axon (+ 🤗 Models integration)

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

ChemML is a machine learning and informatics program suite for the chemical and materials sciences.

Helen Agent Develop Language

Опис репозиторію не опубліковано.

Framework-agnostic PHP SDK for AI providers with typed results and platform abstraction

Command-line tools for Bayesian modelling, MCMC inference, and post-inference diagnostics across probabilistic programming languages.

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

library to quickly export and deploy entire inference pipelines