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Point Cloud classification,CRF,ML

3dnetworkspytorch

Implementation of Popular Deep Learning Network using pytorch

3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

abu

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

benchmark_results

visual tracker benchmark results

cloudcompare

CloudCompare main repository

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

convcrf

This repository contains the reference implementation for our proposed Convolutional CRFs.

csf

LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation

csk

Exploiting the Circulant Structure of Tracking-by-detection with Kernels

da-rnn

Semantic Mapping with Data Associated Recurrent Neural Networks

deeplab_v2

基于v2版本的deeplab,使用VGG16模型，在VOC2012，Pascal-context，NYU-v2等多个数据集上进行训练

deeplearning

This is my some notes and code in my deep learning

deepnetsforeo

Deep networks for Earth Observation

delaunaytriangulator

Dynamic Constrained Delaunay Triangulation

densenet-pytorch

A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)

derain

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

elasticfusion

Real-time dense visual SLAM system

erfnet

erfnet_pytorch

Pytorch code for semantic segmentation using ERFNet

espnet

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

faster-rcnn-tensorflow-python3.5

Tensorflow Faster R-CNN for Windows and Python 3.5

fcn

This is a Pytorch implementation of FCN8s[1] for semantic segmentation.

fcn-pytorch

🚘 Easiest implementation of fully convolutional networks

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

image-denoising-state-of-the-art