Covers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning | 涵盖预训练数据、分词器、Transformer、MoE、分布式训练、缩放定律、推理与对齐，6 项渐进代码作业，掌握 LLM 全栈知识
☆1,480Oct 9, 2026Updated this week
Alternatives and similar repositories for diy-llm
Users that are interested in diy-llm are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 从 NLP 到 LLM 的算法全栈教程，在线阅读地址：https://datawhalechina.github.io/base-llm/☆1,085Sep 30, 2026Updated 2 weeks ago
- LLM algorithm practice lab with theory, solutions, and test cases.《大模型算法与系统教程》面向大模型入门到进阶的算法实战教程，覆盖原理讲解、答案解析、测试用例与 CUDA/Triton 实战。☆687Updated this week
- 📚“langent”由“lang”与“agent”合并而来的学习教程☆508Sep 9, 2026Updated last month
- 记录我在cs336学习时的笔记和作业☆1,235Updated this week
- 📚 从零开始构建大模型☆34,339Aug 8, 2026Updated 2 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- 仅需Python基础，从0构建自己的具身智能机器人；从0逐步构建VLA/OpenVLA/SmolVLA/Pi0， 深入理解具身智能☆4,062Updated this week
- 📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程☆83,111Updated this week
- 🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/☆12,051Sep 30, 2026Updated 2 weeks ago
- ☆3,935Sep 12, 2026Updated last month
- 🌟 推理王国：关于 AI 推理机制的思想实验手册。从信息论、符号逻辑与表示学习出发，系统剖析大模型“智能”的本质。☆215Aug 27, 2026Updated last month
- 🧠 Train a 64M-parameter LLM from scratch in just 2h!☆63,738Sep 22, 2026Updated 3 weeks ago
- My Solution and Notes for the Stanford CS336: LLM from scratch☆264Mar 23, 2026Updated 6 months ago
- ☆622Oct 2, 2026Updated last week
- AI Agent 学习路线与资料库收集☆8,671Jul 19, 2026Updated 2 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Student version of Assignment 1 for Stanford CS336 - Language Modeling From Scratch☆2,985Apr 7, 2026Updated 6 months ago
- 🎓从0开始训练一个大模型Minimind项目的超详细解析，包括但不限于用到的架构，算法，以及大模型面试经验☆1,798May 25, 2026Updated 4 months ago
- 📖 从零基础到面试通关 —— 22节课彻底搞懂大语言模型 | Learn MiniMind: 系统化学习LLM训练全流程☆619Apr 1, 2026Updated 6 months ago
- ☆70Mar 26, 2026Updated 6 months ago
- 《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☆32,469Sep 12, 2026Updated last month
- 📚 从零开始的向量数据库原理与实践教程，在线阅读地址：https://easy-vecdb.datawhale.cc/☆417Aug 16, 2026Updated last month
- Implementation of Stanford CS336 (Spring 2025) assignments☆47Mar 8, 2026Updated 7 months ago
- 分享AI Infra知识&代码练习：PyTorch、vLLM/SGLang、slime/vime框架入门⚡️、性能加速🚀、大模型基础🧠、AI软硬件🔧等☆4,162Sep 20, 2026Updated 3 weeks ago
- 《大模型白盒子构建指南》：一个全手搓的Tiny-Universe☆5,106Feb 12, 2026Updated 8 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Learn everything about world model☆462Updated this week
- ☆184Aug 12, 2026Updated 2 months ago
- stanford learning CS336 Spring 2025 Assignment 1: Basics☆16Aug 1, 2026Updated 2 months ago
- 🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.☆4,643Oct 1, 2026Updated last week
- CS336 面试导向学习指南 - Stanford Language Modeling from Scratch☆280Apr 2, 2026Updated 6 months ago
- 轻量级大语言模型MiniMind的源码解读，包含tokenizer、RoPE、MoE、KV Cache、pretraining、SFT、LoRA、DPO等完整流程☆1,219Jun 16, 2025Updated last year
- 主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题☆15,235Jun 14, 2026Updated 4 months ago
- 本项目是关于Harness Engineering的开源教程，旨在帮助开发者理解和掌握在大模型时代，如何为复杂、长时间运行的 AI 智能体（Agent）构建健壮的底层运行架构。☆267Apr 25, 2026Updated 5 months ago
- Reproducing and studying RL algorithms for LLM agents, including GRPO, GSPO, DAPO, OPD, Search-R1, ReTool, ALFWorld and beyond.☆479Updated this week
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- 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）☆25,161Updated this week
- 本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/☆14,136Aug 27, 2026Updated last month
- Based on Nano-vLLM, a simple replication of vLLM with self-contained paged attention and flash attention implementation☆1,068Aug 29, 2026Updated last month
- Nano vLLM☆15,832Apr 26, 2026Updated 5 months ago
- 大模型基础: 一文了解大模型基础知识☆7,729Jun 22, 2026Updated 3 months ago
- 从基础学科到通用人工智能 - 跨学科知识图谱☆404May 7, 2026Updated 5 months ago
- 📚 《Generic Agent使用指南》——轻松上手自进化智能体，从基础调用到高级技巧全覆盖☆619May 12, 2026Updated 5 months ago