Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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The first open-source Artificial Narrow Intelligence generalist agentic framework Computer-Using-Agent that fully operates graphical-user-interfaces (GUIs) by using only natural language. Uses Visualization-of-Thought and Chain-of-Thought reasoning to elicit spatial reasoning and perception, emulates, plans and simulates synthetic HID interactions.

Collect some World Models for Autonomous Driving (and Robotic) papers.

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Framework for algorithmic trading

Courses, Articles and many more which can help beginners or professionals.

This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation kit.

快速中文分词分析word segmentation

Automatic summarizer text in Swift

Minimax is a AI algorithm.

Huge AI models catalog. A curated list of AI tools, platforms, and resources across various domains.

U-Net Biomedical Image Segmentation

The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.

PyMilo: Python for ML I/O

An all-new Language Model That Processes Ultra-Long Sequences of 100,000+ Ultra-Fast

This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.

AI project for 3D Path Planning. Other details and running instructions can be found on the Readme.md file

1000+ ready code templates to kickstart your next AI experiment