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.

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

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.

stefan-jansen / machine-learning-for-trading

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

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 / 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.

anthropics / prompt-eng-interactive-tutorial

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

ed-donner / llm_engineering

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

higgsfield-ai / higgsfield

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

CompVis / stable-diffusion

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

facebookresearch / dinov3

Reference PyTorch implementation and models for DINOv3

facebookresearch / sam2

Meta's Segment Anything Model 2 for promptable segmentation in images and videos, with inference code, checkpoints, and example notebooks.

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.

NVIDIA-NeMo / Nemotron

Developer hub with training recipes, cookbooks, datasets, and end-to-end examples for building with NVIDIA's open Nemotron models.

DataTalksClub / mlops-zoomcamp

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

pyannote / pyannote-audio

Python toolkit for speaker diarization built on PyTorch, with pretrained pipelines and models that can be fine-tuned on your own data.

QwenLM / Qwen3-VL

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

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.

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.

GoogleCloudPlatform / generative-ai

Sample notebooks, code, and apps demonstrating how to build with generative AI models on Google Cloud.

facebookresearch / dinov2

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

google-gemma / cookbook

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

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

snakers4 / silero-models

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

genieincodebottle / generative-ai

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

onnx / models

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

huggingface / smol-course

A course on aligning smol models.

hemansnation / AI-Engineer-Headquarters

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

AnswerDotAI / llms-txt

The /llms.txt file, helping language models use your website

microsoft / edgeai-for-beginners

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.

shap / shap

Python library that computes Shapley-value explanations for the predictions of any machine learning model.

cantaro86 / Financial-Models-Numerical-Methods

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

TingsongYu / PyTorch-Tutorial-2nd

《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。

3dmol / 3Dmol.js

WebGL accelerated JavaScript molecular graphics library

calmrocks / ai-engineer-notebooks

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.

CuteCuteYu / Refusal-in-Language-Models

Refusal in Language Models

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.

huggingface / diffusion-models-class

Materials for the Hugging Face Diffusion Models Course

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 🚀.

MAIF / shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Ramakm / AI-Engineering

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

datawhalechina / torch-rechub

A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.

mlmed / torchxrayvision

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

ibm-granite / granite-tsfm

Foundation Models for Time Series

jexp / neo4jev

Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationships

om-ai-lab / VLX-VR

SDK to use VLX-VR: An Agentic-Aware Video Reasoning Model

rasbt / ai-detector-from-scratch

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

inclusionAI / ling-cookbook

Guide, document and practical tips for getting the most out of the Ling model series.

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.

aws-samples / amazon-bedrock-workshop

This is a workshop designed for Amazon Bedrock a foundational model service.

peremartra / Large-Language-Model-Notebooks-Course

Practical course about Large Language Models.

google-ai-edge / litert-torch

Support PyTorch model conversion with LiteRT.

aeturrell / coding-for-economists

This repository hosts the code behind the online book, Coding for Economists.

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).