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📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale
Achieve state of the art inference performance with modern accelerators on Kubernetes
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
Distributed Compiler based on Triton for Parallel Systems
Android in docker solution with noVNC supported and video recording
这个项目是一个基于 Cloudflare Workers 的 Docker 镜像代理工具。它能够中转对 Docker 官方镜像仓库的请求，解决一些访问限制和加速访问的问题。
🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT！🌏 Train a 26M-parameter GPT from scratch in just 2h!
🚀 「大模型」1小时从0训练26M参数的视觉多模态VLM！🌏 Train a 26M-parameter VLM from scratch in just 1 hours!
🔒 Enterprise-grade API gateway that helps you monitor and impose cost or rate limits per API key. Get fine-grained access control and monitoring per user, application, or environment. Supports Open…
Elegant, modern and asynchronous Telegram MTProto API framework in Python for users and bots
Pure Python 3 MTProto API Telegram client library, for bots too!
An API wrapper for undocumented endpoints on GMGN.ai
The all-in-one tool to help you find profitable wallets on Solana, Ethereum and Binance Smart Chain.
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek, Qwen, Llama, Gemma, TTS 2x faster with 70% less VRAM.
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
A JupyterLab extension for displaying dashboards of GPU usage.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.
SGLang is a high-performance serving framework for large language models and multimodal models.
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