Motion Sense alternatives for AI agents.

Techniques for deep learning with satellite & aerial imagery

Code for Machine Learning for Algorithmic Trading, 2nd edition.

12 Weeks, 24 Lessons, AI for All!

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

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

Learn how to develop, deploy and iterate on production-grade ML applications.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

The fastai deep learning library

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

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

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

✅（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】

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

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.

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.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.