zizi21,github

3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

algorithmsbypython

算法/数据结构/Python/剑指offer/机器学习/leetcode

attention-transfer

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

danet

Dual Attention Network for Scene Segmentation

deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

deeplearning-500-questions

denseaspp

DenseASPP for Semantic Segmentation in Street Scenes

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

fcn.berkeleyvision.org

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

image-classification-rnn

Classify MNIST image dataset into 10 classes. Build an image classifier with Recurrent Neural Network (RNN: LSTM) on Tensorflow.

improvedgan-pytorch

Semi-supervised GAN in "Improved Techniques for Training GANs"

light-weight-refinenet

Light-Weight RefineNet for Real-Time Semantic Segmentation

mnist

mnist classification with tensorflow ( nn, cnn, lstm, nlstm, bi-lstm, cnn-rnn)

models

Models and examples built with TensorFlow

ngsim.jl

A Julia package for handling the Next Generation Simulation (NGSIM) traffic dataset

pspnet-tensorflow

An implementation of PSPNet in tensorflow, see tutorial at:

pytorch-encoding

A CV Toolkit

pytorch-fcn

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

pytorch-unet

Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing

pytorch_refinenet

Pytorch Implementation of Refinenet

resnext

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

resnext-densenet

PyTorch Implementation for ResNet, Pre-Activation ResNet, ResNeXt, DenseNet, and Group Normalisation

resnext.pytorch

Reproduces ResNet-V3 with pytorch

semi-supervised-gan

There is the semi-supervised implement of 'Improved Techniques for Training GANs '

senet.pytorch

PyTorch implementation of SENet

tensorflow-tutorial

Tensorflow tutorial from basic to hard

tutorials

机器学习相关教程

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