---
title: "Model Training"
type: "category"
slug: "model-training"
canonical_url: "https://www.graphcanon.com/categories/model-training"
tool_count: 60
---

# Model Training

60 tools in this category.

## Tools

- [transformers](/tools/huggingface-transformers.md) - 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models,  (★ 162,346)
- [LLMs-from-scratch](/tools/rasbt-llms-from-scratch.md) - Implement a ChatGPT-like LLM in PyTorch from scratch, step by step (★ 98,709)
- [vllm](/tools/vllm-project-vllm.md) - A high-throughput and memory-efficient inference and serving engine for LLMs (★ 85,611)
- [llm-course](/tools/mlabonne-llm-course.md) - Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. (★ 80,726)
- [LlamaFactory](/tools/hiyouga-llamafactory.md) - Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024) (★ 73,040)
- [learn-claude-code](/tools/shareai-lab-learn-claude-code.md) - Bash is all you need -  A nano claude code–like 「agent harness」, built from 0 to 1 (★ 70,216)
- [hello-agents](/tools/datawhalechina-hello-agents.md) - 📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程 (★ 64,659)
- [context7](/tools/upstash-context7.md) - Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors (★ 58,720)
- [ray](/tools/ray-project-ray.md) - Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. (★ 43,153)
- [ChatTTS](/tools/2noise-chattts.md) - A generative speech model for daily dialogue. (★ 39,576)
- [graphrag](/tools/microsoft-graphrag.md) - A modular graph-based Retrieval-Augmented Generation (RAG) system (★ 34,239)
- [happy-llm](/tools/datawhalechina-happy-llm.md) - 📚 从零开始构建大模型 (★ 31,885)
- [self-llm](/tools/datawhalechina-self-llm.md) - 《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程 (★ 31,199)
- [sglang](/tools/sgl-project-sglang.md) - SGLang is a high-performance serving framework for large language models and multimodal models. (★ 30,041)
- [FinceptTerminal](/tools/fincept-corporation-finceptterminal.md) - FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed f (★ 28,064)
- [gitleaks](/tools/gitleaks-gitleaks.md) - Find secrets with Gitleaks 🔑 (★ 28,041)
- [agentscope](/tools/agentscope-ai-agentscope.md) - Build and run agents you can see, understand and trust. (★ 27,550)
- [Hands-On-Large-Language-Models](/tools/handsonllm-hands-on-large-language-models.md) - Official code repo for the O'Reilly Book - "Hands-On Large Language Models" (★ 27,419)
- [free-llm-api-resources](/tools/cheahjs-free-llm-api-resources.md) - A list of free LLM inference resources accessible via API. (★ 26,147)
- [heretic](/tools/p-e-w-heretic.md) - Fully automatic censorship removal for language models (★ 25,892)
- [llm-action](/tools/liguodongiot-llm-action.md) - 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） (★ 24,670)
- [dolt](/tools/dolthub-dolt.md) - Dolt – Git for Data (★ 23,798)
- [go-micro](/tools/micro-go-micro.md) - A Go agent harness and service framework (★ 22,947)
- [CV](/tools/accumulatemore-cv.md) - ✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】 (★ 22,473)
- [airllm](/tools/lyogavin-airllm.md) - AirLLM 70B inference with single 4GB GPU (★ 22,227)
- [serve](/tools/jina-ai-serve.md) - ☁️ Build multimodal AI applications with cloud-native stack (★ 21,862)
- [Qwen](/tools/qwenlm-qwen.md) - The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud. (★ 21,402)
- [coze-studio](/tools/coze-dev-coze-studio.md) - An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze (★ 21,124)
- [FinGPT](/tools/ai4finance-foundation-fingpt.md) - FinGPT: Open-Source Financial Large Language Models!  Revolutionize 🔥    We release the trained model on HuggingFace. (★ 20,812)
- [DeepResearch](/tools/alibaba-nlp-deepresearch.md) - Tongyi Deep Research, the Leading Open-source Deep Research Agent (★ 19,617)
- [machine-learning-for-trading](/tools/stefan-jansen-machine-learning-for-trading.md) - Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution. (★ 19,576)
- [cua](/tools/trycua-cua.md) - Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full de (★ 19,431)
- [Chinese-LLaMA-Alpaca](/tools/ymcui-chinese-llama-alpaca.md) - 中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs) (★ 18,943)
- [DocsGPT](/tools/arc53-docsgpt.md) - Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model supp (★ 17,975)
- [Awesome-Multimodal-Large-Language-Models](/tools/bradyfu-awesome-multimodal-large-language-models.md) - :sparkles::sparkles:Latest Advances on Multimodal Large Language Models (★ 17,926)
- [SuperAGI](/tools/transformeroptimus-superagi.md) - <⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents q (★ 17,607)
- [Megatron-LM](/tools/nvidia-megatron-lm.md) - Ongoing research training transformer models at scale (★ 16,987)
- [DeepLearningExamples](/tools/nvidia-deeplearningexamples.md) - State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterpri (★ 14,827)
- [Llama-Chinese](/tools/llamachinese-llama-chinese.md) - Llama中文社区，实时汇总最新Llama学习资料，构建最好的中文Llama大模型开源生态，完全开源可商用 (★ 14,738)
- [litgpt](/tools/lightning-ai-litgpt.md) - 20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale. (★ 13,469)
- [open-llms](/tools/eugeneyan-open-llms.md) - 📋 A list of open LLMs available for commercial use. (★ 12,823)
- [turbovec](/tools/ryancodrai-turbovec.md) - A vector index built on TurboQuant, written in Rust with Python bindings (★ 12,594)
- [HRM](/tools/sapientinc-hrm.md) - Hierarchical Reasoning Model Official Release (★ 12,587)
- [lancedb](/tools/lancedb-lancedb.md) - Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less. (★ 10,820)
- [ART](/tools/openpipe-art.md) - Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement le (★ 10,344)
- [petals](/tools/bigscience-workshop-petals.md) - 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading (★ 10,266)
- [LLMsPracticalGuide](/tools/mooler0410-llmspracticalguide.md) - A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers) (★ 10,199)
- [metaflow](/tools/netflix-metaflow.md) - Build, Manage and Deploy AI/ML Systems (★ 10,161)
- [open-code-review](/tools/alibaba-open-code-review.md) - Open-source & free — Battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise li (★ 10,088)
- [OpenRLHF](/tools/openrlhf-openrlhf.md) - An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ &  VLM & TIS & vLLM & Ray & Async  (★ 9,759)
- [openbrowser](/tools/ntegrals-openbrowser.md) - Let AI agents browse the web. An autonomous toolkit for browser-based AI agents. (★ 9,489)
- [BentoML](/tools/bentoml-bentoml.md) - The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more! (★ 8,710)
- [VAR](/tools/foundationvision-var.md) - [NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeli (★ 8,706)
- [Machine-Learning-Interviews](/tools/alirezadir-machine-learning-interviews.md) - This repo is meant to serve as a guide for Machine Learning/AI technical interviews.  (★ 8,533)
- [LLM-Agent-Paper-List](/tools/woooodyy-llm-agent-paper-list.md) - The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al. (★ 8,156)
- [train-llm-from-scratch](/tools/fareedkhan-dev-train-llm-from-scratch.md) - A straightforward method for training your LLM, from downloading data to generating text. (★ 8,138)
- [Yi](/tools/01-ai-yi.md) - A series of large language models trained from scratch by developers @01-ai (★ 7,823)
- [evidently](/tools/evidentlyai-evidently.md) - Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From t (★ 7,672)
- [Chinese-LLaMA-Alpaca-2](/tools/ymcui-chinese-llama-alpaca-2.md) - 中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models) (★ 7,134)
- [Voyager](/tools/minedojo-voyager.md) - An Open-Ended Embodied Agent with Large Language Models (★ 7,033)

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/categories/model-training`](/api/graphcanon/categories/model-training)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_