An Open Source Machine Learning Framework for Everyone

pySLAM is a Python-based Visual SLAM pipeline that supports monocular, stereo, and RGB-D cameras. It offers a wide range of modern local and global features, multiple loop-closing strategies, a vol…

Uniform Manifold Approximation and Projection

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…

🐍 Geometric Computer Vision Library for Spatial AI

a programming library with geometric algorithms

(MIRROR of https://gitlab.com/vgg/vise) VGG Image Search Engine (VISE) is a standalone software for visual search of large image collections using image region as search query.

Python library for reading and writing image data

The fastai deep learning library

BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

A collaboration friendly studio for NeRFs

Monocular Depth Estimation Toolbox based on MMSegmentation.

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

Python & Matlab code for local feature descriptor evaluation with the HPatches dataset.

Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

This repo accompanies the research paper, ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D Data and contains the data, scripts to visualize and proces…

Caffe: a fast open framework for deep learning.

A Unified Framework for Surface Reconstruction

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

A curated list of awesome computer vision resources

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

🐦 Quickly annotate data from the comfort of your Jupyter notebook

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

The PatchCamelyon (PCam) deep learning classification benchmark.

Comparative Evaluation of Hand-Crafted and Learned Local Features

Turi Create simplifies the development of custom machine learning models.