Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
量化研究-券商金工研报复现
⚡ 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
One has no future if one couldn't teach themself.
Anthropic's Interactive Prompt Engineering Tutorial
Understanding Deep Learning - Simon J.D. Prince
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Repo to accompany my mastering LLM engineering course
✅(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】
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Neural Networks: Zero to Hero
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。
Practice your pandas skills!
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.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
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.
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。
A collection of guides and examples for the Gemma open models from Google.
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.
The fastai book, published as Jupyter Notebooks
Notebooks for the third edition of Think Stats
An introduction to data science in Python, for people with no programming experience.
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.
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
Collection of notebooks about quantitative finance, with interactive python code.
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.
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
Jupyter Interactive Notebook
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 fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
📚 Jupyter notebook tutorials for OpenVINO™
Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.
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.
MONAI Tutorials
This repository helps you learn Python and Machine Learning from scratch.
Independent quantitative finance research project comparing U.S. and Kazakhstan equity markets using Python and portfolio theory.
Create delightful software with Jupyter Notebooks
🎓 Academic portfolio that boosts citations. AI generates pages, you own as Markdown. BibTeX auto-import, Jupyter, LaTeX, slides, visual block editor — free to host forever. 学术主页,AI 生成,Markdown 拥有 👇
This repository hosts the code behind the online book, Coding for Economists.
Text and supporting code for Modeling and Simulation in Python
Export Spotify playlists using the Web API. Analyze them in the Jupyter notebook.
interactive notebooks from Planet Engineering
Use Jupyter Notebook in mkdocs
Sixty notebook recipes for typed decisions with Jev: Choice, Noul and Score patterns from a first classification to closed-loop control
Python training for business analysts and traders
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
IPython Parallel: Interactive Parallel Computing in Python
Text and code for the second edition of Think Bayes, by Allen Downey.
Jupyter Notebook
Python tutorials in both Jupyter Notebook and youtube format.
Simple and flexible progress bar for Jupyter Notebook and console
Jupyter notebooks for learning how to use SimpleITK
A collection of Jupyter notebooks developed by the community showing how to use Qiskit
Collection of Jupyter notebooks is designed to provide you with a comprehensive guide to various AI tools and technologies
Code examples for the book titled Introduction to GIS Programming
Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises
Introduction to GIS Programming