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rangoliu (liuwenran)

liuwenran

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rangoliu's starred repositories

imgcat

It's like cat, but for images.

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NetDissect

Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

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CapsNet-Tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

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DenseNet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

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SfMLearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

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DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

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AdversarialNetsPapers

Awesome paper list with code about generative adversarial nets

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py-R-FCN-multiGPU

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

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mpegflow

A tool for easy extraction of motion vectors stored in video files

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OF_DIS

Fast Optical Flow using Dense Inverse Search (DIS)

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FlowNet

Modified Version of FlowNet, specifically for adversed environment optical flow

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temporal-segment-networks

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

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caffe

A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.

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models

Models and examples built with TensorFlow

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caffe_srgan

A Caffe Implementation of SRGAN

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solarized

precision color scheme for multiple applications (terminal, vim, etc.) with both dark/light modes

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spf13-vim

The ultimate vim distribution

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PiQual

Large Scale Image Aesthetics Evaluation

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ConnectingDots

1. Perceptron: The very basic entity in Machine Learning. It's training and weights update in code. 2. Image Aesthetic Assessment: Determining the aesthetic content of an image. The network defined use Spatial Pyramid Pooling. 3. Image Classification: Alexnet architecture in Keras for image classification. Find more here

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deepImageAestheticsAnalysis

ECCV2016 - fine-grained photo aesthetics rating with interpretability

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App-DL

Deep Learning and applications in Startups, CV, NLP

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