A community-maintained Python framework for creating mathematical animations.

A list of awesome compiler projects and papers for tensor computation and deep learning.

Some enhancements for Microsoft WSL2

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Line-by-line profiling for Python

A Python framework for GPU-accelerated simulation, robotics, and machine learning.

NumPy and SciPy on Multi-Node Multi-GPU systems

Pytorch framework for doing deep learning on point clouds.

Code for "DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided Procedures". https://arxiv.org/abs/1803.08606

Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Instant neural graphics primitives: lightning fast NeRF and more

Lightning fast C++/CUDA neural network framework

Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)

The ultimate Python binding for Vulkan API

Implementation of "Deep Implicit Templates for 3D Shape Representation"

Papers and Datasets about Point Cloud.

Calculate signed distance fields for arbitrary meshes

Awesome Crowd Counting

The detection of peaks and valleys in a 1d-vector or 2d-array (image)

3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)

Berkeley's Spatial Array Generator

A resource repository for 3D machine learning

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

AI Toolkit for Healthcare Imaging

This is a list of awesome methods about data augmentation.

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

🐍 Geometric Computer Vision Library for Spatial AI

An extension of Open3D to address 3D Machine Learning tasks

PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss