github.com
Add CylinderSDF (#201) · iory/scikit-robot@bfb6d37
· * Add CylinderSDF * Add test · Shared by 4, including Matt Shaffer
github.com
matpalm/tcn_grasping
· pybullet grasping with time contrastive network embeddings - matpalm/tcn_grasping · Shared by 4, including Matt Shaffer
github.com
matpalm/tcn_grasping
· pybullet grasping with time contrastive network embeddings - matpalm/tcn_grasping · Shared by 4, including Matt Shaffer
github.com
oscar-lima/pybullet_ros
· A bridge between ROS and PyBullet. Contribute to oscar-lima/pybullet_ros development by creating an account on GitHub. · Shared by 4, including Matt Shaffer
github.com
nonrigid_nerf/run_nerf_helpers.py at master
· Open source repository for the code accompanying the paper 'Non-Rigid Neural Radiance Fields Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video'. - facebookre... · Shared by 4, including Matt Shaffer
github.com
nonrigid_nerf/train.py at master
· Open source repository for the code accompanying the paper 'Non-Rigid Neural Radiance Fields Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video'. - facebookre... · Shared by 4, including Matt Shaffer
github.com
Time-in-State-RL/Main_ts.py at main
· Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays, CORL-2020. - nesl/Time-in-State-RL · Shared by 4, including Matt Shaffer
github.com
robovat/pose.py at 9b3090e27c3c42b8a624452262d571ccc2a6c976
· RoboVat: A unified toolkit for simulated and real-world robotic task environments. - StanfordVL/robovat · Shared by 4, including Matt Shaffer
rgit.acin.tuwien.ac.at
model/tm_model.py
· The original implementation of the paper "DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-based Robotic Grasping" · Shared by 4, including Matt Shaffer
github.com
akashsharma02/DeepV2D
· Contribute to akashsharma02/DeepV2D development by creating an account on GitHub. · Shared by 4, including Matt Shaffer
github.com
xsj01/pytorch-dense-correspondence
· Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation" - xsj01/pytorch-dense-correspondence · Shared by 4, including Matt Shaffer
github.com
andyzeng/visual-pushing-grasping
· Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning. - andyzeng/visual-pushing-grasping · Shared by 4, including Matt Shaffer
github.com
rpautrat/SuperPoint
· Efficient neural feature detector and descriptor. Contribute to rpautrat/SuperPoint development by creating an account on GitHub. · Shared by 4, including Matt Shaffer
github.com
google-research/ravens
· Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020. - google-research/ravens · Shared by 4, including Matt Shaffer
github.com
google-research/ravens
· Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020. - google-research/ravens · Shared by 4, including Matt Shaffer
github.com
haosulab/CSE291-G00-SP20
· https://robotmlcourse.github.io/SP20/index.html. Contribute to haosulab/CSE291-G00-SP20 development by creating an account on GitHub. · Shared by 4, including Matt Shaffer