dtiarks

dtiarks's Stars

• terryum/awesome-deep-learning-papers

  The most cited deep learning papers

  Language:TeX25.6k2k264.5k

• AtsushiSakai/PythonRobotics

  Python sample codes for robotics algorithms.

  Language:Python23.8k5153556.6k

• openai/baselines

  OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

  Language:Python15.9k6428504.9k

• DmitryUlyanov/deep-image-prior

  Image restoration with neural networks but without learning.

  Language:Jupyter Notebook7.9k227981.4k

• meetps/pytorch-semseg

  Semantic Segmentation Architectures Implemented in PyTorch

  Language:Python3.4k106222793

• leggedrobotics/darknet_ros

  YOLO ROS: Real-Time Object Detection for ROS

  Language:C++2.2k493401.2k

• multimodallearning/pytorch-mask-rcnn

  Language:Python2k3499555

• ScanNet/ScanNet

  Language:C1.9k41161348

• charlesq34/frustum-pointnets

  Frustum PointNets for 3D Object Detection from RGB-D Data

  Language:Python1.6k46133537

• creativetimofficial/light-bootstrap-dashboard

  Light Bootstrap Dashboard is an admin dashboard template designed to be beautiful and simple.

  Language:CSS1.4k9050719

• PRBonn/depth_clustering

  :taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

  Language:C++1.2k2971377

• Kaixhin/grokking-pytorch

  The Hitchiker's Guide to PyTorch

  1.2k29274

• ethz-adrl/towr

  A light-weight, Eigen-based C++ library for trajectory optimization for legged robots.

  Language:C++9404468234

• kujason/avod

  Code for 3D object detection for autonomous driving

  Language:Python93836197348

• ros-simulation/gazebo_ros_pkgs

  Wrappers, tools and additional API's for using ROS with Gazebo

  Language:C++79145616776

• mmolero/awesome-point-cloud-processing

  A curated list of awesome Point Cloud Processing Resources, Libraries, Software

  749462133

• BichenWuUCB/SqueezeSeg

  Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

  Language:Python5642751239

• titu1994/neural-architecture-search

  Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).

  Language:Python4331619113

• mkocabas/CoordConv-pytorch

  Pytorch implementation of CoordConv introduced in 'An intriguing failing of convolutional neural networks and the CoordConv solution' paper. (https://arxiv.org/pdf/1807.03247.pdf)

  Language:Python397181050

• d3/d3-drag

  Drag and drop SVG, HTML or Canvas using mouse or touch input.

  Language:JavaScript336186861

• wadimkehl/ssd-6d

  Inference code and trained networks for SSD-6D

  Language:Python311152378

• uwgraphics/relaxed_ik

  RelaxedIK Solver

  Language:Python197153751

• melfm/avod-ssd

  Code for 3D single stage object detection for autonomous driving

  Language:Python9971022

• Kiwoo/KazuaNet

  402352

• Toemazz/VehicleDetectionAndTracking

  Modified TensorFlow Object Detection Model for vehicle detection and tracking

  Language:Python272114

• HumaRobotics/phantomx_description

  ROS package providing mesh files and URDF of the Phantom X Hexapod robot for use with the real robot or Gazebo.

  Language:CMake257014

• zimenglan-sysu-512/paper-note

  25417

• Near32/GazeboDomainRandomization

  Implementation of some Domain Randomization tools within the ROS+Gazebo framework, following the work of Tobin et al. "Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real Worl" (https://arxiv.org/abs/1703.06907)

  Language:Python224412

• matwilso/rock_detector

  [abandoned] Domain randomization to train a CNN rock detector for NASA Robotic Mining Competition. See https://github.com/matwilso/domrand for more recent work in this direction, with better code

  Language:Python5400

• HilscherAutomation/netPI-aws-iot-embedded-c-sdk

  Using AWS IoT Embedded C SDK to connect to AWS IoT

  Language:Dockerfile120