zeng-hello-world Goto Github PK

3d_labeling_tools

ale_crf

apollo

An open autonomous driving platform

aten

ATen: A TENsor library for C++11

awesome-pruning

A curated list of neural network pruning resources.

but_velodyne_cnn

but_velodyne_lib

Open source library for Velodyne 3D LIDAR point clouds processing provided by Robo@FIT group.

caffe

caffe-python-tutorial

A Basic Tutorial to learning Caffe with Python, including two examples for classification and detection, and codes to train, test, prune and compress Net.

cnn_pcl_seg

CNN for segmentation of ground point cloud

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

deep-learning-point-cloud-processing

A list of references and projects for point cloud processing.

deepgtav

A plugin for GTAV that transforms it into a vision-based self-driving car research environment.

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

drwn

Darwin: A Framework for Machine Learning Research and Development

flexcrfs

ghm_detection

The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.

googlenet-bn

GoogleNet-BN,namely InceptionNetV2 based on pytorch.

grid_map

Universal grid map library for mobile robotic mapping

incubator-tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

mmgeneration

MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

multiobjectiveoptimization

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

panopticapi

COCO 2018 Panoptic Segmentation Task API (Beta version)

pointcloud-classifiers

pointcloud-landmarks-extractor

Tools to detect and classify landmarks (currently, trees and pole-like objects) from point cloud data

python-pcl

Python bindings to the pointcloud library (pcl)

pytorchzerotoall

Simple PyTorch Tutorials Zero to ALL!

robo-dstree

using decison tree to classify terrain point cloud

robo-gridmap

remove ground point cloud; Enclidean cluster;grid map;