pyun-ram Goto Github PK

3d-deepbox

3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)

3d-lidar-annotator

3D LiDAR annotation tool using ray tracing and bounding boxes.

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

avod

Code for 3D object detection for autonomous driving

avod_ssn

Deep Sensor Fusion for Single Source Robustness

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

backpack

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

c-kd

This is the repository for the code of "In Defense of Knowledge Distillation for Task Incremental Learning and its Application in 3D Object Detection" for RAL-ICRA2021 submission.

carla_data_collection

set sensors on an autonomous agents(a vehicle) in carla and collect albedo, depth, reflection vector, semantic data and rgb image

cloudplatformtoolbox

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

continual-learning-benchmark

Evaluate three types of task shifting with popular continual learning algorithms.

delta

DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229

det3

This repo is a LiDAR-based 3D object detection code base. It provides some basic operations and methods for 3D object detection.

fl3d

The code is implemented to show focal loss improvement based on 3D-FCN and VoxelNet for “Focal Loss in 3D Object Detection”.

frustum-pointnets

Frustum PointNets for 3D Object Detection from RGB-D Data

hkust-latex-thesis

A Better HKUST LaTeX Thesis Template

hkust_latex_thesis_2019

HKUST thesis latex template for PhD and MPhil, especially for ECE, 2019

hypernet-hypertraining

Code for Stochastic Hyperparameter Optimization through Hypernetworks

incdet3

This repository is for task-incremental-learning in LiDAR-based 3D object detection.

kitti-object-eval-python

Fast kitti object detection eval in python(finish eval in less than 10 second)

kitti_eval

lidar_generation

Code for "Deep Generative Models for LiDAR Data"

martinhahner

multiobjectiveoptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

openpcdet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

openpcuct

pointflow

PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

pointnet.pytorch

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