artificial-intelligence

Not just GPT4! Easy to use, Self-Hosted, Unlimited and Free WEB API of the latest A.I. like Gemini, DeepSeek, Claude and GPT

High-performance Text-to-Speech server with OpenAI-compatible API, 8 voices, emotion tags, and modern web UI. Optimized for RTX GPUs.

Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips

Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence.

Cheatsheets for AI and Machine Learning

A zero-dependency ML framework in C with a modern Python API for full control over execution and memory.

Command suggestions, command-not-found and thefuck replacement written in Rust

Implementation of Voicebox, new SOTA Text-to-speech network from MetaAI, in Pytorch

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

[ECCV 2026] SparkVSR: Interactive Video Super-Resolution via Sparse Keyframe Propagation

Tree-Boosting, Gaussian Processes, and Mixed-Effects Models

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

A personal AI assistant for everyone

The AI agent that lives in your framework/browser

RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.

A C++ framework for MDPs and POMDPs with Python bindings

Implementation of MagViT2 Tokenizer in Pytorch

EfficientSAM3 compresses SAM3 into lightweight, edge-friendly models via progressive knowledge distillation for fast promptable concept segmentation and tracking.

A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model

Dress Code: High-Resolution Multi-Category Virtual Try-On. ECCV 2022

Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

A comprehensive collection of AI development patterns for building software with AI assistance, organized by implementation maturity and development lifecycle phases. Includes Foundation, Development, and Operations patterns with practical examples and anti-patterns.

A foundational library for Semantic Hypergraphs

Build your own X - Master machine learning by building everything from scratch. It aims to cover everything from linear regression to deep learning to large language models (LLMs).

♟️ Vectorized RL game environments in JAX

The .NET library to build AI agents with 30+ built-in connectors.

An open platform for artificial intelligence, chat bots, virtual agents, social media automation, and live chat automation.

🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.

A curated list of AI tools, libraries, and resources for economics research, teaching, and policy analysis. Maintained by the OpenEcon team.