lyogavin / airllm
AirLLM 2.8T LLM inference with single 4GB GPU
lyogavin / airllm
HandsOnLLM / Hands-On-Large-Language-Models
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
NirDiamant / RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
ed-donner / llm_engineering
Repo to accompany my mastering LLM engineering course
microsoft / generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI
rasbt / LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
patchy631 / ai-engineering-hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
NirDiamant / GenAI_Agents
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
AccumulateMore / CV
✅（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】
NirDiamant / agents-towards-production
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
GoogleCloudPlatform / generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
OpenBMB / MiniCPM
MiniCPM5: SOTA on-device LLMs, small yet powerful.
evidentlyai / evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
NirDiamant / Prompt_Engineering
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
DataTalksClub / llm-zoomcamp
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here 👇🏼
charliedream1 / ai_quant_trade
Stock AI Trader: 1-stop platform for learning, sim & live trading. Covers: stock basics, strategies, LLMs, factor mining, ML/DL/RL, graph nets, HFT, C++ deploy & JoinQuant code. 股票AI操盘手：一站式学习、模拟、实盘平台。涵盖：股票基础、策略、大模型、因子挖掘、机器学习/深度学习/强化学习、图网络、高频交易、C++部署及聚宽代码。
higgsfield-ai / higgsfield
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
rasbt / reasoning-from-scratch
Implement a reasoning LLM in PyTorch from scratch, step by step
neo4j-labs / llm-graph-builder
Neo4j graph construction from unstructured data using LLMs
TingsongYu / PyTorch-Tutorial-2nd
《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。
GiovanniPasq / agentic-rag-for-dummies
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
mongodb-developer / GenAI-Showcase
MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.
CalvinXKY / InfraTech
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
bragai / bRAG-langchain
Everything you need to know to build your own RAG application
Nixtla / nixtla
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
hemansnation / AI-Engineer-Headquarters
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
pinecone-io / examples
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
bbruceyuan / Hands-On-Large-Language-Models-CN
中文翻译的 Hands-On-Large-Language-Models (hands-on-llms)，动手学习大模型
zjunlp / EasyEdit
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
loveunk / deep-learning-llm-agent-notes
机器学习、深度学习的学习路径及知识总结
AnswerDotAI / llms-txt
The /llms.txt file, helping language models use your website
genieincodebottle / generative-ai
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
apache / hamilton
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Exorust / TorchLeet
LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.
milvus-io / bootcamp
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
bbruceyuan / LLMs-Zero-to-Hero
从无名小卒到大模型（LLM）大英雄~ 欢迎关注后续！！！
peremartra / Large-Language-Model-Notebooks-Course
Practical course about Large Language Models.
onestardao / WFGY
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
NirDiamant / Controllable-RAG-Agent
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
datawhalechina / diy-llm
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
benman1 / generative_ai_with_langchain
Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.
datawhalechina / torch-rechub
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
NirDiamant / Agent_Memory_Techniques
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
datawhalechina / base-llm
从 NLP 到 LLM 的算法全栈教程，在线阅读地址：https://datawhalechina.github.io/base-llm/
adrida / tracer
Distill your LLM traces into a fast hybrid System 1 models. Open-source ML + LLM inference with calibrated deferral.
curiousily / AI-Bootcamp
Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)
weaviate / recipes
This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!
The-FinAI / PIXIU
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
andysingal / llm-course
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limouren2000 / llms-dev-study
小李的大模型应用开发学习路线，涵盖 RAG、Agent、面试八股与论文速读。
amaiya / onprem
A toolkit for applying LLMs to sensitive, non-public data in offline or restricted environments
charliedream1 / ai_wiki
《AI全栈-全网优秀资源搜集站》：搜集全网优秀资源，记载工程实践问题的解决策略与关键要点，分享各种实用案例，追踪前沿技术发展，囊括 AI 全栈知识，涵盖大模型、编程技术、机器学习、深度学习、强化学习、图神经网络、语音识别、NLP 及图像识别等领域
calmrocks / ai-engineer-notebooks
Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.
datawhalechina / llm-algo-leetcode
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。
leoncuhk / awesome-quant-ai
A curated list of awesome resources for quantitative investment and trading strategies focusing on artificial intelligence and machine learning applications in finance.
huggingface / optimum-intel
🤗 Optimum Intel: Accelerate inference with Intel optimization tools
towardsai / ragbook-notebooks
Repository for the "Building LLMs for Production" book by Towards AI.
superlinked / VectorHub
Deprecated historical repo. Superlinked now develops SIE, a self-hosted inference engine for embeddings, reranking, OCR, extraction, and document processing.
HayatoHongo / EveryonesLLM
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zorost / AI-Engineering-Lab
A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.