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Structured Outputs

An open source implementation of CLIP.

Parallel computing with task scheduling

Simple, unified interface to multiple Generative AI providers

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.

The developer platform for on-demand cloud development environments to create software faster and more securely.

Nano vLLM

Open3D: A Modern Library for 3D Data Processing

Multi-Joint dynamics with Contact. A general purpose physics simulator.

Open Machine Learning Compiler Framework

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Minimal reproduction of DeepSeek R1-Zero

structured outputs for llms

🔎 Open source distributed and RESTful search engine.

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

A framework for few-shot evaluation of language models.

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Open Source framework for voice and multimodal conversational AI

Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

No description.

This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

HunyuanVideo: A Systematic Framework For Large Video Generation Model

LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.

LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词（Structured Prompt）提出者 📌 元提示词（Meta-Prompt）发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树

The Context Platform for your Data and AI Stack

Access large language models from the command-line

Go ahead and axolotl questions