Machine Learning · GitHub

AI models in Julia on top of Flux.jl

ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy

AI-powered open-source recommender system engine supporting classical and LLM rankers, as well as multimodal content via embeddings.

This repo contains the Hugging Face Deep Reinforcement Learning Course.

Open3D: A Modern Library for 3D Data Processing

Visualizer for neural network, deep learning and machine learning models

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

The Modular Platform (includes MAX & Mojo)

Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics

Qiu Xipeng’s Neural Networks and Deep Learning, second edition and general-audience edition: e-book, chapter listings, learning resources, and errata.

Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

OpenMMLab Detection Toolbox and Benchmark

👑 Enterprise-grade, high-frequency quantitative scalp trading engine for XAUUSD (Gold). Driven by PyTorch (TCN + Self-Attention), Smart Money Concepts (SMC/ICT) , Win32 C++ MT5 IPC bindings, and a real-time FastAPI Canvas Web Dashboard.

Machine Learning Engineering Open Book

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

Refine high-quality datasets and visual AI models

• Native Annotation: Create and edit 2D and 3D labels directly in the App or integrate with your favorite annotation tools — then curate, QA, and iterate, all in one platform.
• Visualize Complex Datasets: Easily explore images, videos, and associated labels in a powerful visual interface.

Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.

• Image annotation for polygon, rectangle, circle, line and point (tutorial)
• Image flag annotation for classification and cleaning (#166)

A GUI tool and deep-learning framework for extracting hard-coded subtitles from videos and generating SRT files. It requires no third-party API and performs text recognition locally. It includes subtitle-region detection and subtitle-content extraction.