aeitel

aeitel's Stars

• endymecy/awesome-deeplearning-resources

  Deep Learning and deep reinforcement learning research papers and some codes

  2.9k2224667

• google-research/kubric

  A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

  Language:Jupyter Notebook2.4k40189235

• devendrachaplot/Neural-SLAM

  Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

  Language:Python7742367144

• rdiankov/openrave

  Open Robotics Automation Virtual Environment: An environment for testing, developing, and deploying robotics motion planning algorithms.

  Language:C++73274520344

• atenpas/gpd

  Detect 6-DOF grasp poses in point clouds

  Language:C++64819124236

• pemami4911/deep-rl

  Collection of Deep Reinforcement Learning algorithms

  Language:Python2981317192

• rlbayes/rllabplusplus

  Language:Python160101142

• vikolss/DACS

  Code from the paper "DACS: Domain Adaptation via Cross-domain Mixed Sampling"

  Language:Python12432019

• robosamir/ddpg-ros-keras

  An implementation of the Deep Deterministic Policy Gradient (DDPG) algorithm using Keras/Tensorflow with the robot simulated using ROS/Gazebo/MoveIt!

  Language:Python613428

• PhilJd/generalize_spatial_relations

  Code for the paper "Optimization Beyond the Convolution: Generalizing Spatial Relations with End-to-End Metric Learning" (ICRA 2018)

  Language:Python14617

• fkraemer/qt_multi_annotator

  Multi class, semi-automatic annotation GUI that produces pixel-wise output

  Language:Python2100