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A high-performance observability data pipeline.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。

Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

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

A guidance language for controlling large language models.

345 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 330+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8 more coding agents — engineering, marketing, product, compliance, C-level advisory, research, business operations, commercial & finance, and your daily productivity skills.

Temporal service

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Open standard for machine learning interoperability

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

Minimalist ML framework for Rust

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

Development repository for the Triton language and compiler

Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

open-source agentic AI data assistant for the next generation of AI + Data products.

A TTS model capable of generating ultra-realistic dialogue in one pass.

Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.

Toolkit for linearizing PDFs for LLM datasets/training

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

State-of-the-Art Embeddings, Retrieval, and Reranking

Train transformer language models with reinforcement learning.