🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

GLOMAP - Global Structured-from-Motion Revisited

From the Transistor to the Web Browser, a rough outline for a 12 week course

The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.t…

Code for Prediction and Planning Under Uncertainty (PPUU)

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

dso个人注释版

The English version of 14 lectures on visual SLAM.

A Robust and Versatile Monocular Visual-Inertial State Estimator

An optimization-based multi-sensor state estimator

A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.

This is repository with supplementary files for my master's thesis.

Over 385 terminal color schemes/themes for iTerm/iTerm2. Includes ports to Terminal, Konsole, PuTTY, Xresources, XRDB, Remmina, Termite, XFCE, Tilda, FreeBSD VT, Terminator, Kitty, MobaXterm, LXTer…

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)

CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry

The development repo for the Primer on Bézier curves, https://pomax.github.io/bezierinfo

The fastai deep learning library

Code to reproduce "imagenet in 18 minutes" DAWN-benchmark entry

Optimization-Based Collision Avoidance - a path planner for autonomous navigation

Implementation of online photometric calibration (https://vision.in.tum.de/research/vslam/photometric-calibration)

DSO with SIM(3) pose graph optimization and loop closure

Web labeling tool for bitmap images and point clouds

Lanelet maps have been introduced in the context of the autonomous completion of the Bertha-Benz-Memorial-Route in 2013

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Model summary in PyTorch similar to `model.summary()` in Keras

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Modularized Implementation of Deep RL Algorithms in PyTorch