Find secrets with Gitleaks 🔑

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• Updated Oct 28, 2026
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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）

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• Updated Oct 14, 2026
• HTML

Low-code framework for building custom LLMs, neural networks, and other AI models

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• Updated Nov 9, 2026
• Python

The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.

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• Updated Nov 12, 2026
• Python

Infrastructure for continually self‑improving agents

reinforcement-learning inference ai-agents continual-learning llm llm-training agent-infrastructure self-improving-agents

• Updated Nov 12, 2026
• Python

《深入理解 AI Infra：量化分析与系统设计》（李博杰 著）开源书稿：从硬件约束和模型架构出发，量化推导 LLM 推理与训练系统设计。含全书正文、PDF、配套计算工具与实验

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• Updated Oct 1, 2026
• Python

Efficient Triton Kernels for LLM Training

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• Updated Nov 10, 2026
• Python

Democratizing Reinforcement Learning for LLMs

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• Updated Oct 16, 2026
• Python

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/

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• Updated Nov 9, 2026
• Python

OpenLake is a high performance storage engine for efficient LLM inference and GPU Training

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• Updated Nov 11, 2026
• Rust

verl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is also the official code for paper "Group-in-Group Policy Optimization for LLM Agent Training"

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• Updated Jun 9, 2026
• Python

MoBA: Mixture of Block Attention for Long-Context LLMs

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• Updated Apr 3, 2025
• Python

DLRover: An Automatic Distributed Deep Learning System

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• Updated Nov 11, 2026
• Python

Nvidia GPU exporter for prometheus using nvidia-smi binary OR using NVML

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• Updated Nov 12, 2026
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GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation

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• Updated Nov 8, 2026
• Python

Byted PyTorch Distributed for Hyperscale Training of LLMs and RLs

pytorch llm-training

• Updated Nov 11, 2026
• Python

“AI-Compass”将为社区指引在 AI 技术海洋中航行的方向，无论你是初学者还是进阶开发者，都能在这里找到通往 AI 各大方向的路径。旨在帮助开发者系统性地了解 AI 的核心概念、主流技术、前沿趋势，并通过实践掌握从理论到落地的全过程。

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• Updated Nov 6, 2026
• Python

A curated collection of papers, technical reports, frameworks, and tools for on-policy distillation (OPD) of large language models

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• Updated Oct 6, 2026

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

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• Updated Jun 8, 2025
• Python

LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.

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• Updated Mar 13, 2026
• Jupyter Notebook