aaronhd Goto Github PK

coacd

[SIGGRAPH2022] Approximate Convex Decomposition for 3D Meshes with Collision-Aware Concavity and Tree Search

code_project

自己跑过的代码块,里面有自己的注释

cog

Code for the COG dataset and network

compositional-visual-generation-with-composable-diffusion-models-pytorch

[ECCV 2022] Compositional Generation using Diffusion Models (PyTorch)

computervisiondatasets

convnetdraw

Draw multi-layer neural network in your browser

cpd-video

Learning Spatiotemporal Features via Video and Text Pair Discrimination

crazyflie_optitrack_hover

Autonomous hovering of Crazyflie with Optitrack (NESL- UCLA)

crazyflie_ros

ROS Driver for Bitcraze Crazyflie

crazyflieros

A GUI for controlling the Crazyflie with ROS input/output

d4rl

A benchmark for offline reinforcement learning.

da-faster-rcnn

An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'

dalle2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

darknet_ros

YOLO ROS: Real-Time Object Detection for ROS

deep-prior-pp

Improving Fast And Accurate 3D Hand Pose Estimation

deep_grasp_demo

Deep learning for grasp detection within MoveIt.

deep_learning

Deep-learning approaches to object recognition from 3D data

deepclawbenchmark

deepcompletionrelease

Deep Depth Completion of a Single RGB-D Image

deeplab-keras

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

defgraspsim

This package provides a framework to automatically perform grasp tests on an arbitrary object model of choice.

depth-map-prediction-from-a-single-image-using-a-multi-scale-deep-network

PyTorch implementation of the paper

det3d

A general 3D object detection codebse.

dexgraspnet

dexmv-sim

DexMV: Imitation Learning for Dexterous Manipulation from Human Videos, ECCV 2022

dilation-tensorflow

A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dipn

Deep Interaction Prediction Network with Application to Clutter Removal

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.