Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Generative Models by Stability AI

Graph Neural Network Library for PyTorch

StyleGAN - Official TensorFlow Implementation

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Generate 3D objects conditioned on text or images

A hyperparameter optimization framework

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Point cloud diffusion for 3D model synthesis

Distributed Evolutionary Algorithms in Python

Build Graph Nets in Tensorflow

Solving the Traveling Salesman Problem using Self-Organizing Maps

Python library for loading and using triangular meshes.

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

Evolutionary algorithm toolbox and framework with high performance for Python

Modern OpenGL binding for Python

A library for graph deep learning research

An extension of Open3D to address 3D Machine Learning tasks

PyTorch Tutorials from my YouTube channel

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

😎 Curated list of awesome software for numerical analysis and scientific computing

Examples to accompany the "Raspberry Pi Pico Python SDK" book.

Python version of FullControl for toolpath design (and more) - the readme below is best source of information

This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity)…

⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored.

This is the repository of a Tsugite. It is a research prototype of an interactive software that supports the design and fabrication of wood joints.