maddock's repositories

crl

Implementation of the paper "Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching"

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deep-photo-styletransfer

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

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deeplearningbook-chinese

Deep Learning Book Chinese Translation

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DeepVideoAnalytics

A distributed visual search and visual data analytics platform.

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dlcv_for_beginners

《深度学习与计算机视觉》配套代码

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face-alignment

:fire: 2D and 3D Face alignment library build using pytorch

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facenet

Face recognition using Tensorflow

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FastMaskRCNN

Mask RCNN in TensorFlow

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GDLnotes

Google Deep Learning Notes(TensorFlow教程)

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generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

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keras-vggface

VGGFace implementation with Keras Framework

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MMdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

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mobile-deep-learning

This research aims at simply deploying CNN(Convolutional Neural Network) on mobile devices, with low complexity and high speed.

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monodepth

Unsupervised single image depth prediction with CNNs

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monodepth2

[ICCV 2019] Monocular depth estimation from a single image

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MTCNN-Tensorflow

Reproduce MTCNN using Tensorflow

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mx-maskrcnn

A MXNet implementation of Mask R-CNN

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openface

Face recognition with deep neural networks.

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PRNet

The source code of 'Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network'.

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SENet

Squeeze-and-Excitation Networks

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SfMLearner

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

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ShuffleNet

This is a fast caffe implementation of ShuffleNet.

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sphereface_pytorch

A PyTorch Implementation of SphereFace.

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SqueezeNet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

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SSH

SSH: Single Stage Headless Face Detector

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stanford-tensorflow-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

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tensorflow

Computation using data flow graphs for scalable machine learning

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w-net

w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.

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zhusuan

A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow

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