deep-learning

Build Graph Nets in Tensorflow

ML-powered manga translator, written in Rust.

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

Code Repository for Machine Learning with PyTorch and Scikit-Learn

computer vision and sports

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Long list of geospatial tools and resources

Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Probabilistic time series modeling in Python

A PyTorch Implementation of Single Shot MultiBox Detector

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

Brings SQL and AI together.

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.

a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image

Image augmentation library in Python for machine learning.

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

links to conference publications in graph-based deep learning