Stars
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
A selection of state-of-the-art research materials on trajectory prediction
Bayesian optimization in PyTorch
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
🚀 Awesome list of open source applications for macOS. https://t.me/s/opensourcemacosapps
MATLAB code and data for our CRV 2015 paper
Python implementation of SO2, SE2, SO3, and SE3 matrix Lie groups using numpy or pytorch
Non-linear least-squares SLAM in Python using scipy and numpy. Modelled after Google's Ceres solver.
Image augmentation for machine learning experiments.
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…
[ICCV 2019] Monocular depth estimation from a single image
Real numbers, data science and chaos: How to fit any dataset with a single parameter
Geometry-Aware Learning of Maps for Camera Localization (CVPR2018)
Latex code for making neural networks diagrams
Datasets, Transforms and Models specific to Computer Vision
🐍 Geometric Computer Vision Library for Spatial AI
Differentiable RANSAC: Learning Robust Line Fitting
Learning diverse image-to-image translation from unpaired data
A highly efficient implementation of Gaussian Processes in PyTorch