Code examples for the O'Reilly book Hands-On Large Language Models, covering LLM concepts and practical techniques in Jupyter notebooks.
Jupyter notebooks and recipes demonstrating code patterns for building with the Claude API, including tool use, RAG, vision, and evaluations.
Course materials, code, notebooks and datasets for the Zero to Mastery Machine Learning and Data Science course.
Example notebooks and guides showing how to accomplish common tasks with the OpenAI API.
A collection of 42+ runnable Jupyter notebooks, each tutorial covering an advanced technique for Retrieval-Augmented Generation systems.
⚡ 适合中国宝宝的 Jev 入门教程|手把手带你了解关于 Jev 的一切——Jupyter Notebook 轻松实验,从三种问题原语到 18 篇实战配方、语音智能家居、模型评测与本地微调,全面掌握 System One 判断模型的开发范式
A Chinese-language book by Li Xiaolai teaching self-learning skills through a Python programming curriculum, delivered as Jupyter notebooks.
Source repository for Simon Prince's textbook Understanding Deep Learning, with LaTeX sources, figures, and Jupyter notebooks.
✅(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】
Inference code, checkpoints, and notebooks for Meta's Segment Anything Model (SAM), which produces object masks from points, boxes, or automatically for whole images.
An interactive Jupyter notebook course teaching prompt engineering techniques for Anthropic's Claude models.
Jupyter notebooks and code accompanying Ed Donner's 8-week LLM engineering course, from local models through building LLM applications.
Meta's Segment Anything Model 2 for promptable segmentation in images and videos, with inference code, checkpoints, and example notebooks.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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。
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
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.
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。
Sample notebooks, code, and apps demonstrating how to build with generative AI models on Google Cloud.
Notebooks for the third edition of Think Stats
The fastai book, published as Jupyter Notebooks
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.
Notebooks using the Hugging Face libraries 🤗
All notebooks in the CP LAB
Jupyter notebooks and code samples accompanying Wes McKinney's book on data analysis with Python, pandas, and NumPy.
Web-based notebook environment for interactive computing, supporting code, text, and output in one document.
Collection of notebooks about quantitative finance, with interactive python code.
Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
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.
Learn about the fundamentals of LangGraph through a series of notebooks
Collection of Free Google Colab and Kaggle notebooks for AI tools.
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
📚 Jupyter notebook tutorials for OpenVINO™
MONAI Tutorials
This repository helps you learn Python and Machine Learning from scratch.
A group of notebooks and other files which can help you learn AI from scratch.
A collection of scripts and notebooks to help you get started quickly.
Master self-improving LLM agents systematically with runnable Stanford CS329A notebooks.
Independent quantitative finance research project comparing U.S. and Kazakhstan equity markets using Python and portfolio theory.
The fastai deep learning library
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.
Create delightful software with Jupyter Notebooks
Practical course about Large Language Models.
Notebooks & Example Apps for Search, Observability, and Security with Elasticsearch
This repository hosts the code behind the online book, Coding for Economists.
Accessible Google Colab notebooks for Stable Diffusion Lora training, based on the work of kohya-ss and Linaqruf
Collection of Jupyter notebooks is designed to provide you with a comprehensive guide to various AI tools and technologies
Export Spotify playlists using the Web API. Analyze them in the Jupyter notebook.
interactive notebooks from Planet Engineering
Use Jupyter Notebook in mkdocs
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.
Sixty notebook recipes for typed decisions with Jev: Choice, Noul and Score patterns from a first classification to closed-loop control
250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.
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.
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, Kaggle, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya, Midjourney, RunPod