rasbt / LLMs-from-scratch

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

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.

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.

GokuMohandas / Made-With-ML

A free course teaching how to design, develop, deploy, and iterate on production-grade machine learning applications in Python.

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】

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.

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

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.

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.

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

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.

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!

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.

cksystemsteaching / selfie

An educational software system of a tiny self-compiling C compiler, a tiny self-executing RISC-V emulator, and a tiny self-hosting RISC-V hypervisor.

Tanu-N-Prabhu / Python

This repository helps you learn Python and Machine Learning from scratch.

epfml / ML_course

EPFL Machine Learning Course, Fall 2026

stanfordmlgroup / ngboost

Natural Gradient Boosting for Probabilistic Prediction

Ramakm / AI-Engineering

A group of notebooks and other files which can help you learn AI from scratch.

mlmed / torchxrayvision

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

numerai / example-scripts

A collection of scripts and notebooks to help you get started quickly.

fastai / fastai

The fastai deep learning library

aimacode / aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

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.

h2oai / h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

bragai / bRAG-langchain

Everything you need to know to build your own RAG application

ilmoi / MML-Book

Code / solutions for Mathematics for Machine Learning (MML Book)

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).

joanby / python-ml-course

Curso de Introducción a Machine Learning con Python

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.

tensorflow / docs

TensorFlow documentation