2019-paper-fun Goto Github PK

pointnet

PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

pointnet-keras

Keras implementation for Pointnet

pointnet_pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

pointnetenhanced

Study into Pointnet and Pointnet++ for possible enhancement

pointnetgpd

PointNetGPD is an end-to-end grasp evaluation model to address the challenging problem of localizing robot grasp configurations directly from the point cloud.

project-teachable

Example Project: Teachable Machine

projecttars

This project deals with simulation in Autowrare and Carla

propagationlab

Collection of Icy plugin to model propagation

prosr

Repository containing an independent implementation of the paper: "A Fully Progressive Approach to Single-Image Super-Resolution"

pvcnn

[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning

pycnc

Python CNC machine controller for Raspberry Pi and other ARM Linux boards

python-plyfile

NumPy-based text/binary PLY file reader/writer for Python

pytorch-3d-point-cloud-generation

Pytorch code to construct a 3D point cloud model from single RGB image.

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-from-scratch

Accompanies my article PyTorch From Scratch

pytorch-time-series-classification-benchmarks

Time Series Classification Benchmark with LSTM, VGG, ResNet

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

raisr

Google Rapid and Accurate Image Super Resolution

redtail

NVidia Redtail project with ArduPilot Support for Jetpack 4.2.x

research-papers-implementations

resources

A list of data sets and other resources for light fields for computer vision

rgat

A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811

rl_carla

Use Reinforcement Learning to train an autonomous driving agent in CARLA Simulator

rnn-time-series-anomaly-detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

robot-navigation

Implementation of neural network-based autonomous robot navigation

robotics-rl-srl

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

rpg_mpc

Model Predictive Control for Quadrotors with extension to Perception-Aware MPC

rpg_quadrotor_control

Quadrotor control framework developed by the Robotics and Perception Group