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ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
Convert Machine Learning Code Between Frameworks
Cooperative control of the multiple mobile vehicles via distributed model predictive control to implement the following tasks including formation control, inter-vehicle obstacle avoidance and envir…
An example of draggable plot for matplotlib
Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.
Coursera Open Courses from University of Toronto
pytorch implementation of Domain-Adversarial Training of Neural Networks
The goal of this repo is to make the drone datasets as easy to use as possible. For this purpose we provide source code in Python, which allows the import and visualization of the datasets.
AlexeyAB / darknet
Forked from pjreddie/darknetYOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Dataset for car detection on aerial photos applications
jorge-pessoa / pytorch-msssim
Forked from Po-Hsun-Su/pytorch-ssimPyTorch differentiable Multi-Scale Structural Similarity (MS-SSIM) loss
3D Reconstruction / Pseudo LiDAR via Deep Learning
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Implementation of the Learning Model Predictive Controller for autonomous racing
VINS-Fusion, VINS-Fisheye, OpenVINS, EnVIO, ROVIO, S-MSCKF, ORB-SLAM2, NVIDIA Elbrus application of different sets of cameras and imu on different board including desktop and Jetson boards
This repository is C++ OpenCV implementation of Stereo Odometry
Deep Planning Network: Control from pixels by latent planning with learned dynamics
Dream to Control: Learning Behaviors by Latent Imagination
Model summary in PyTorch similar to `model.summary()` in Keras
Tools for accelerating safe exploration research.
codes of public deep multi-object tracking
Reinforcement Learning for Gym CarRacing-v0 with PyTorch