leiup

Lei He's repositories

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

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DualGAN

DualGAN-tensorflow: tensorflow implementation of DualGAN

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pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

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mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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tensorflow-mnist-tutorial

Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.

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DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

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AdversarialNetsPapers

The classical papers and codes about generative adversarial nets

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generative-models

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

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hed

code for Holistically-Nested Edge Detection

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pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

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CoGAN-tensorflow

Implement Coupled Generative Adversarial Networks in Tensorflow

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SRGAN

A tensorflow implemenation of Christian et al's SRGAN(super-resolution generative adversarial network)

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WGAN-tensorflow

a tensorflow implementation of WGAN

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mv3d

Multi-view 3D Models from Single Images with a Convolutional Network

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gvnn

gvnn: Geometric Vision with Neural Networks

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refinenet

RefineNet: Multi-Path Refinement Networks with Identity Mappings for High-Resolution Semantic Segmentation

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opencv_installer

An Interactive Opencv Installer for Ubuntu 16.04 LTS

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neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

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LIFT

Code release for the ECCV 2016 paper

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This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

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FCRN-DepthPrediction

Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

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curfil

CUDA Random Forest implementation for Image Labeling tasks

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TensorFlow-Tutorials

Simple tutorials using Google's TensorFlow Framework

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Depth-estimation-from-single-images

Depth estimation from single images

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tfAlexNet

this is an implementation of alexnet with tensorflow. Run the train.py for training, and test.py for testing. You only need to config the picture folder path

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LibroTensorFlow

Tutorial básico de uso de TensorFlow

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TF-mRNN

Re-implementation of the m-RNN model using TensorFLow

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TensorFlow-Examples

TensorFlow tutorials and code examples for beginners

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tensorflow

Computation using data flow graphs for scalable machine learning

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caffe

Caffe: a fast open framework for deep learning.

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