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.

jackfrued / Python-100-Days

A free Chinese-language 100-day Python course, from basics to advanced topics, with lessons and code examples.

microsoft / generative-ai-for-beginners

21 Lessons, Get Started Building with Generative AI

rasbt / LLMs-from-scratch

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

HandsOnLLM / Hands-On-Large-Language-Models

Code examples for the O'Reilly book Hands-On Large Language Models, covering LLM concepts and practical techniques in Jupyter notebooks.

anthropics / prompt-eng-interactive-tutorial

An interactive Jupyter notebook course teaching prompt engineering techniques for Anthropic's Claude models.

mrdbourke / zero-to-mastery-ml

Course materials, code, notebooks and datasets for the Zero to Mastery Machine Learning and Data Science course.

google-research / google-research

Monorepo of research code and datasets released by Google Research, spanning many subprojects.

facebookresearch / segment-anything

Inference code, checkpoints, and notebooks for Meta's Segment Anything Model (SAM), which produces object masks from points, boxes, or automatically for whole images.

Liquid4All / cookbook

A collection of examples, tutorials, and apps for building with Liquid AI's open-weight LFM models and the LEAP SDK on laptops, mobile, and edge devices.

facebookresearch / audiocraft

PyTorch library for audio generation research, providing inference and training code for MusicGen, AudioGen, and EnCodec.

CompVis / stable-diffusion

Reference code for Stable Diffusion, a latent text-to-image diffusion model that generates images from text prompts.

ed-donner / llm_engineering

Jupyter notebooks and code accompanying Ed Donner's 8-week LLM engineering course, from local models through building LLM applications.

pyannote / pyannote-audio

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

NVIDIA-NeMo / Nemotron

Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models

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.

NirDiamant / agents-towards-production

Code-first Jupyter tutorials for building and deploying production-grade GenAI agents, from prototype to enterprise deployment.

facebookresearch / dinov3

Reference PyTorch implementation and models for DINOv3

gepa-ai / gepa

Optimize prompts, code, and more with AI-powered Reflective Optimization

walkinglabs / hands-on-modern-rl

🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.

stefan-jansen / machine-learning-for-trading

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

facebookresearch / sam2

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

DataTalksClub / mlops-zoomcamp

Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort

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.

higgsfield-ai / higgsfield

Open-source GPU cluster orchestrator and PyTorch-based framework for training LLMs with billions to trillions of parameters.

rasbt / reasoning-from-scratch

Implement a reasoning LLM in PyTorch from scratch, step by step

google-gemma / cookbook

A collection of guides and examples for the Gemma open models from Google.

AI4Finance-Foundation / FinGPT

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

QwenLM / Qwen3-VL

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

GoogleCloudPlatform / generative-ai

Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform

facebookresearch / dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

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.

FinanceFlash / unvibecode

Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.

rasbt / deeplearning-models

A collection of various deep learning architectures, models, and tips

alphacep / vosk-api

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

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.

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.

huggingface / smol-course

A course on aligning smol models.

charliedream1 / ai_quant_trade

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。

unslothai / notebooks

250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.

Nixtla / nixtla

TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

bbruceyuan / Hands-On-Large-Language-Models-CN

中文翻译的 Hands-On-Large-Language-Models (hands-on-llms)，动手学习大模型

genieincodebottle / generative-ai

Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

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

joanby / python-ml-course

Curso de Introducción a Machine Learning con Python

rasbt / ai-detector-from-scratch

End-to-end project training and building AI models / LLMs to detect AI-written text

shap / shap

A game theoretic approach to explain the output of any machine learning model.

fengdu78 / lihang-code

《统计学习方法》的代码实现

fivethirtyeight / data

Data and code behind the articles and graphics at FiveThirtyEight

AkashSingh3031 / The-Complete-FAANG-Preparation

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.

aws / amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

onnx / models

A collection of pre-trained, state-of-the-art models in the ONNX format

aimacode / aima-python

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

GoogleCloudPlatform / python-docs-samples

Code samples used on cloud.google.com

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.

cantaro86 / Financial-Models-Numerical-Methods

Collection of notebooks about quantitative finance, with interactive python code.

snakers4 / silero-models

Silero Models: pre-trained text-to-speech models made embarrassingly simple

nianticlabs / monodepth2

[ICCV 2019] Monocular depth estimation from a single image

dempfi / ayu

🎨🖌 Modern, bright color theme for Sublime Text

huggingface / diffusion-models-class

Materials for the Hugging Face Diffusion Models Course