One has no future if one couldn't teach themself.
📚 从零开始构建大模型
10 Weeks, 20 Lessons, Data Science for All!
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Repo to accompany my mastering LLM engineering course
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
Implement a reasoning LLM in PyTorch from scratch, step by step
Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
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.
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
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.
Data and code behind the articles and graphics at FiveThirtyEight
Free course notebooks teaching agent building with LangGraph, from setup through deployment, in modules 0 to 6.
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。
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
Learn about the fundamentals of LangGraph through a series of notebooks
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.
GenMedia Creative Studio is a generative media user experience highlighting the use of Gemini, Gemini Omni, Veo, Gemini Image 🍌, Gemini TTS, Chirp 3, Lyria and other generative media APIs on Google Cloud.
Sun et al. Distributed AI agents enable comprehensive discovery of biological insights at scale
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
[CVPR 2025 Highlight] Official code and models for Encoder-only Mask Transformer (EoMT).
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.
🎨🖌 Modern, bright color theme for Sublime Text
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
Croissant is a high-level format for machine learning datasets that brings together four rich layers.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Create delightful software with Jupyter Notebooks
Generator Bootcamp Material: Learn Chisel the Right Way
Weekly materials for the Dicle University course Machine Learning in Economics and Finance: slides, lecture videos and code. Course taught in Turkish.
A high performance implementation of HDBSCAN clustering.
Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
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Jupyter notebooks for learning how to use SimpleITK
Content for the Udemy Prompt Engineering Course
Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationships
SAMS - Scalable Agentic Market Simulator, a next gen AI finance automation paradigm, suitable for high frequency scenario while built for continuous learning and more sophisticated market simulation.
Comprehensive archive of IBM Qiskit Global Summer School 2026 (QGSS '26) lecture slides, C++/Python lab walkthroughs, code notebooks, reading strategies, and a curated 80+ item Quantum Computing & QML resource collection.
Project 02 of StudyBuild: Analyze customer behavior, generate business insights, and make data-driven decisions using Python.
Multi-agent reinforcement learning in a macroeconomic environment, with V-learning and bootstrap confidence intervals for government policy parameters.
Prefix Sliding for efficient test-time scaling
Margin Grace is a VS Code extension that notices real moments in a developer's coding session — a string of errors, a breakthrough, a late-night grind, a deploy — and quietly surfaces a relevant verse and grounded encouragement, right where they're already working, using the YouVersion Platform and Gloo AI Studio APIs.
This end-to-end Computer Vision application uses custom-trained YOLO11 weights to detect fire and smoke across multiple input sources, including images, videos, and live webcam streams.
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.