xieliang555

xieliang555's Stars

• utkuozbulak/pytorch-cnn-visualizations

  Pytorch implementation of convolutional neural network visualization techniques

  Language:Python7.9k1141061.5k

• TheNetAdmin/zjuthesis

  Zhejiang University Graduation Thesis LaTeX Template

  Language:TeX2.6k15312619

• phlippe/uvadlc_notebooks

  Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

  Language:Jupyter Notebook2.6k3689577

• rail-berkeley/rlkit

  Collection of reinforcement learning algorithms

  Language:Python2.5k61131553

• NxRLab/ModernRobotics

  Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code is optimized neither for efficiency nor robustness.

  Language:Python2k8834815

• rlworkgroup/garage

  A toolkit for reproducible reinforcement learning research.

  Language:Python1.9k561k310

• NVIDIA-Omniverse/IsaacGymEnvs

  Isaac Gym Reinforcement Learning Environments

  Language:Python1.7k36189375

• GeorgeDu/vision-based-robotic-grasping

  Related papers and codes for vision-based robotic grasping

  Language:Python1.2k647245

• deepmind/mujoco_menagerie

  A collection of high-quality models for the MuJoCo physics engine, curated by DeepMind.

  Language:Python599191672

• peci1/nvidia-htop

  A tool for enriching the output of nvidia-smi.

  Language:Python540101458

• katerakelly/oyster

  Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

  Language:Python4722231125

• 0aqz0/SLR

  isolated & continuous sign language recognition using CNN+LSTM/3D CNN/GCN/Encoder-Decoder

  Language:Python20453841

• huybery/VisualizingCNN

  :see_no_evil:A PyTorch implementation of the paper "Visualizing and Understanding Convolutional Networks." （ECCV 2014)

  Language:Python1954339

• markdtw/meta-learning-lstm-pytorch

  pytorch implementation of Optimization as a Model for Few-shot Learning

  Language:Python17531135

• hirschmann/pid-autotune

  PID-controller/brewing kettle simulation

  Language:Python1458540

• stanford-iprl-lab/multimodal_representation

  Language:Python849719

• b-etienne/Seq2seq-PyTorch

  Language:Python773215

• OpenRobotSL/RobotForceControl

  admittance control导纳与拖动

  Language:MATLAB772217

• 0aqz0/SLRPapers

  papers on sign language recognition and related fields

  743018

• xukechun/Efficient_goal-oriented_push-grasping_synergy

  [RAL & IROS 2021] Efficient learning of goal-oriented push-grasping synergy in clutter

  Language:Python6241510

• hobincar/RecNet

  A Pytorch implementation of "Reconstruction Network for Video Captioning", CVPR 2018

  Language:Python5423319

• fmahoudeau/MiCT-Net-PyTorch

  Video Recognition using Mixed Convolutional Tube (MiCT) on PyTorch with a ResNet backbone

  Language:Python532812

• 0aqz0/pytorch-attention-mechanism

  my codes for learning attention mechanism

  Language:Python50226

• guodashun/peg-in-hole-gym

  Language:Python39214

• 0aqz0/neural-retargeting

  Code for the paper "Kinematic Motion Retargeting via Neural Latent Optimization for Learning Sign Language", RAL with ICRA 2022

  Language:Python35135

• xieliang555/SFN

  Learning to Fill the Seam by Vision: Sub-millimeter Peg-in-hole on Unseen Shapes in Real World

  Language:Python31235

• 0aqz0/yumi-gym

  gym env for collaborative robot yumi with pybullet

  Language:Python16203

• sholtodouglas/ur5pybullet

  UR5 sim in pybullet, with control via xyz and ori of the head, or individual motor control.

  Language:Python15218

• xieliang555/Tracer

  Learning Active Force-torque based Policy for Sub-mm Localization of Unseen Holes

  Language:Python11210

• kouroshHakha/fist

  Language:Python10214