Open source. Open possibilities.

Apache TVM is an open machine learning compilation framework designed for universal deployment and customizable compiler pipelines.

MLflow is an open-source AI engineering platform designed for managing the lifecycle of agents, LLMs, and traditional ML models, focusing on observability, evaluation, and deployment.

Ray is a unified framework for scaling AI and Python applications from a single laptop to a distributed cluster.

TRL is a comprehensive library for post-training foundation models using reinforcement learning and preference optimization techniques, built on the Hugging Face ecosystem.

PEFT is a library providing state-of-the-art Parameter-Efficient Fine-Tuning methods to adapt large pretrained models with minimal computational and storage costs.

ONNX Runtime is a cross-platform accelerator for machine learning inference and training, supporting models from PyTorch, TensorFlow, and scikit-learn.

A fast reimplementation of OpenAI's Whisper model using CTranslate2, offering improved transcription speed and reduced memory usage.

Whisper is a general-purpose, multitask speech recognition model capable of multilingual transcription, translation, and language identification.

OpenCV is an open-source computer vision library providing a wide range of tools for image processing and visual analysis.

scikit-learn is a comprehensive Python module for machine learning, built on top of SciPy and distributed under the 3-Clause BSD license.

JAX is a Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and large-scale machine learning.

Keras 3 is a multi-backend deep learning framework that allows users to build and train models using JAX, TensorFlow, PyTorch, or OpenVINO.

TensorFlow is an end-to-end open source platform for machine learning, providing a flexible ecosystem of tools and libraries for building and deploying ML-powered applications.

PyTorch is an open-source machine learning library providing tensor computation with GPU acceleration and a flexible deep neural network framework based on a tape-based autograd system.

FreeLLMAPI is an OpenAI-compatible API gateway that aggregates free tiers from dozens of LLM providers into a single endpoint with smart routing and automatic failover.

Upscayl is a free and open-source AI image upscaler for Linux, macOS, and Windows that enlarges and enhances low-resolution images without losing quality.

Chroma is an open-source data infrastructure designed for AI, providing vector, hybrid, and full-text search capabilities.

ComfyUI is a modular AI creation engine featuring a visual node graph interface for generating images, videos, audio, and 3D models using state-of-the-art open-source and closed-source models.

Open WebUI is a self-hosted, extensible AI platform that provides a user-friendly interface for local and cloud-based models, supporting Ollama and OpenAI-compatible APIs.

Dify is an open-source LLM app development platform that enables users to build AI workflows, RAG pipelines, and agents through an intuitive interface.

AnythingLLM is an all-in-one AI application for building a private, local-first ChatGPT experience with document ingestion and AI agent capabilities.

A C/C++ implementation for LLM and VLM inference designed for minimal setup and high performance across diverse hardware.

vLLM is a high-throughput, memory-efficient library designed for Large Language Model (LLM) inference and serving.

A comprehensive web interface for Stable Diffusion implemented using the Gradio library, providing a wide array of tools for AI image generation and manipulation.

Flowise is a visual tool for building AI agents, allowing users to design and deploy agentic workflows through a graphical interface.

LangChain is a framework designed for building agents and applications powered by Large Language Models (LLMs), providing a modular architecture to chain interoperable components.

LlamaIndex is an open-source data framework designed to build agentic applications by augmenting LLMs with private data.

SGLang is a high-performance serving framework for large language models (LLMs) and multimodal models, designed for low-latency and high-throughput inference.

Unsloth is a desktop application and framework for running and training large language models (LLMs) and diffusion models locally across Windows, macOS, and Linux.

Continue is an open-source coding agent available as a CLI, VS Code extension, and JetBrains plugin.

A high-performance C/C++ implementation for inference of OpenAI's Whisper automatic speech recognition (ASR) model, designed for lightweight and cross-platform deployment.

Ollama is a tool that allows users to run, manage, and build with open-source large language models locally on macOS, Windows, and Linux.

Hugging Face Transformers is a model-definition framework for machine learning across text, vision, audio, and multimodal tasks. It provides a unified API for inference and training with over 1 million pretrained checkpoints.

RAGFlow is an open-source Retrieval-Augmented Generation (RAG) engine that combines RAG with Agent capabilities to provide a high-fidelity context layer for Large Language Models.