lyogavin / airllm
Python library that runs large language model inference layer by layer, so 70B-class models fit on a single 4GB GPU without quantization.
lyogavin / airllm
Lordog / dive-into-llms
Chinese-language hands-on programming tutorial series on large language models, covering fine-tuning, prompting, editing, watermarking, jailbreaks, and agents.
microsoft / generative-ai-for-beginners
A 21-lesson Microsoft course teaching how to build generative AI applications, with code examples in Python and TypeScript.
rasbt / LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
jackfrued / Python-100-Days
A free Chinese-language 100-day Python course, from basics to advanced topics, with lessons and code examples.
microsoft / AI-For-Beginners
A 12-week, 24-lesson beginner curriculum covering AI fundamentals, neural networks, computer vision, NLP, and AI ethics with TensorFlow and PyTorch labs.
mrdbourke / zero-to-mastery-ml
Course materials, code, notebooks and datasets for the Zero to Mastery Machine Learning and Data Science course.
chiphuyen / aie-book
Companion repository for Chip Huyen's book AI Engineering, with chapter summaries, study notes, prompt examples, and case studies.
microsoft / ML-For-Beginners
A 12-week, 26-lesson beginner curriculum on classic machine learning using Scikit-learn, with quizzes and projects in Python and R.
google-research / google-research
Monorepo of research code and datasets released by Google Research, spanning many subprojects.
NirDiamant / RAG_Techniques
A collection of 42+ runnable Jupyter notebooks, each tutorial covering an advanced technique for Retrieval-Augmented Generation systems.
stefan-jansen / machine-learning-for-trading
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
DataTalksClub / data-engineering-zoomcamp
A free 9-week course teaching data engineering by building an end-to-end data pipeline using tools like Docker, Terraform, Kafka, Spark, and dbt.
hugo2046 / QuantsPlaybook
Python and Jupyter reproductions of quant strategies from Chinese brokerage research reports, covering A-share timing, factors, value and portfolio optimization.
GokuMohandas / Made-With-ML
A free course teaching how to design, develop, deploy, and iterate on production-grade machine learning applications in Python.
datawhalechina / deepagents-in-action
📚 《Deep Agents 实战》—— LangChain 官方大使出品，基于 LangChain / LangGraph 生态，从零构建生产级 AI Agent 的完整指南
datawhalechina / jev-cookbook
⚡ 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
xiaolai / the-craft-of-selfteaching
A Chinese-language book by Li Xiaolai teaching self-learning skills through a Python programming curriculum, delivered as Jupyter notebooks.
UFund-Me / Qbot
Open-source AI-oriented quantitative investment platform covering data, strategy research, backtesting, simulated and live trading.
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】
anthropics / prompt-eng-interactive-tutorial
An interactive Jupyter notebook course teaching prompt engineering techniques for Anthropic's Claude models.
alirezadir / AIMLInterviews
A study guide and interview-prep curriculum for AI/ML technical roles at big tech, covering coding, ML breadth, system design, and behavioral rounds.
higgsfield-ai / higgsfield
Open-source GPU cluster orchestrator and PyTorch-based framework for training LLMs with billions to trillions of parameters.
patchy631 / ai-engineering-hub
A curated collection of tutorials and hands-on projects covering LLMs, RAG, and AI agent applications, organized by difficulty.
openai / CLIP
A neural network from OpenAI that scores how well text snippets match images, trained on image-text pairs for zero-shot prediction.
microsoft / Data-Science-For-Beginners
A 10-week, 20-lesson beginner curriculum teaching data science through project-based lessons with quizzes and assignments.
microsoft / mcp-for-beginners
A beginner curriculum teaching the Model Context Protocol (MCP) with hands-on code examples in C#, Java, JavaScript, Rust, Python, and TypeScript.
DataTalksClub / machine-learning-zoomcamp
A free, cohort-based course teaching ML engineering: training models, exposing them via APIs, and deploying with Docker, Kubernetes, and AWS Lambda.
DataTalksClub / mlops-zoomcamp
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
Visualize-ML / Linear-Algebra-Made-Easy---Learn-with-Python-and-Visualization
”数学不难“ 之 《线性代数不难》上下册，66话题完册；欢迎批评指正
ageron / handson-ml3
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.
rasbt / reasoning-from-scratch
Implement a reasoning LLM in PyTorch from scratch, step by step
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
AI4Finance-Foundation / FinGPT
Open-source large language models and tooling for financial tasks such as sentiment analysis, forecasting, and robo-advisory.
mrdbourke / pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
shahidazam2020-oss / A-Comparative-Machine-Learning-Framework-for-Heart-Attack-Risk-Prediction-Using-Data-Preprocessing
This project presents a comparative machine learning framework for heart attack risk prediction using Python. It includes data preprocessing, feature engineering, SMOTE for class balancing, cross validation, and performance evaluation of multiple ML models.
ageron / handson-mlp
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.
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.
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。
NVlabs / sionna
Sionna: An Open-Source Library for Research on Communication Systems
fastai / fastbook
The fastai book, published as Jupyter Notebooks
py-why / EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
shsarv / Machine-Learning-Projects
This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools.
NVIDIA / dgx-spark-playbooks
Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture.
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/
hemansnation / AI-Engineer-Headquarters
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
shap / shap
Python library that computes Shapley-value explanations for the predictions of any machine learning model.
spmallick / learnopencv
Learn OpenCV : C++ and Python Examples
luisguiserrano / manning
Repository for the book Grokking Machine Learning, by Manning Editors
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.
petrobras / 3W
Timely detections for more proactive and effective actions in offshore oil wells!
rasbt / deeplearning-models
A collection of various deep learning architectures, models, and tips
roboflow / notebooks
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.
NirDiamant / Prompt_Engineering
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
microsoft / FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
girafe-ai / ml-course
Open Machine Learning course
MAIF / shapash
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
openvinotoolkit / openvino_notebooks
📚 Jupyter notebook tutorials for OpenVINO™
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.