daitao's starred repositories

Paper_Reading_List

Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)

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pytorch-beginner

pytorch tutorial for beginners

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Roadmap-of-DL-and-ML

Roadmap of DL and ML, some courses, study notes and paper summary

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cifar10-gluon

Gluon implement of Kaggle cifar10 competition

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mxnet-tutorial

my simple tutorial for mxnet, a fast deep learning framework

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

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

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ccnoise

The source code of "A Holistic Approach to Cross-Channel Image Noise Modeling and its Application to Image Denoising, CVPR16"

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BIQA_Toolbox

A benchmark implementation of representative deep BIQA models

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weighted_DCNN_IQA

A tensorflow implementation of the network in "Bosse S, Maniry D, Müller K R, et al. Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment[J]. arXiv preprint arXiv:1612.01697, 2016."

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IQA_DeepQA_FR_release

CNN-based full-reference image quality assessment

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pytorch-scripts

A few Windows specific scripts for PyTorch

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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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Pytorch-Sketch-RNN

a pytorch implementation of https://arxiv.org/abs/1704.03477

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tensorboardX

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

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capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

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DeblurGAN

Image Deblurring using Generative Adversarial Networks

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CapsNet-pytorch

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

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EDSR-PyTorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

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cnn_finetune

Fine-tune CNN in Keras

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DenseNet-Keras

DenseNet Implementation in Keras with ImageNet Pretrained Models

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pix2pix

Image-to-image translation with conditional adversarial nets

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CycleGAN

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

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awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

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on-demand-learning

On-Demand Learning for Deep Image Restoration (ICCV 2017)

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awesome-deep-vision

A curated list of deep learning resources for computer vision

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pytorch

Python wrappers for torch and lua

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t-SNE-tutorial

A tutorial on the t-SNE learning algorithm

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DeepLearningImplementations

Implementation of recent Deep Learning papers

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fashion-landmarks

Fashion Landmark Detection in the Wild

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visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

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