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An extremely fast Python package and project manager, written in Rust.
Empower the Web community and invite more to build across platforms.
verl: Volcano Engine Reinforcement Learning for LLMs
Solve Visual Understanding with Reinforced VLMs
Integrate the DeepSeek API into popular softwares
The easiest tool for fine-tuning LLM models, synthetic data generation, and collaborating on datasets.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A GUI Agent application based on UI-TARS(Vision-Lanuage Model) that allows you to control your computer using natural language.
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…
GPT4V-level open-source multi-modal model based on Llama3-8B
a state-of-the-art-level open visual language model | 多模态预训练模型
End-to-end stack for WebRTC. SFU media server and SDKs.
Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Out-of-the-box (OOTB) GUI Agent for Windows and macOS
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch Tutorial for Deep Learning Researchers
[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
[CVPR 2025] Open-source, End-to-end, Vision-Language-Action model for GUI Agent & Computer Use.
The LLMs' framework optimized for ultra-fast response times.
Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.
Qwen2.5-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
A high-throughput and memory-efficient inference and serving engine for LLMs