shubhampachori12110095 Goto Github PK

deconvfaces

Generating faces with deconvolution networks

deep-and-cross-keras

Keras Implementation for "Deep & Cross Network for Ad Click Predictions"

deep-auto-punctuation

a pytorch implementation of auto-punctuation learned character by character

deep-compression-alexnet

Deep Compression on AlexNet

deep-crf

An implementation of Conditional Random Fields (CRFs) with Deep Learning Method

deep-ctr

An attempt of training DNN models to predict ad click-through rate, implemented with Theano.

deep-ctr-prediction

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

deep-embedded-memory-networks

https://arxiv.org/abs/1707.00836

deep-encoding-pooling-network-dep-

Code release for "Deep Texture Manifold for Ground Terrain Recognition", CVPR 2018

deep-expression

An Attention Based Open-Source End to End Speech Synthesis Framework, No CNN, No RNN, No MFCC!!!

deep-fashion

Proposal a new method to retrieval clothing images

deep-fbanks

Deep Filter Banks for Texture Recognition, Description and Segmentation (CVPR15)

deep-feature-flow

Deep Feature Flow for Video Recognition

deep-forecast-pytorch

Wind Speed Prediction using LSTMs in PyTorch (https://arxiv.org/pdf/1707.08110.pdf)

deep-fs

Deep-Feature Selection

deep-generative-filter-for-motion-deblurring

Cleaned up and rewritten torch implementation of our ICCV 2017 paper "Deep Generative Filter for motion deblurring"

deep-generative-filtering-for-motion-deblurring

deep-goggle

Source code for "Understanding Deep Image Representations by Inverting Them", CVPR 2015

deep-hdr-with-pytorch

deep-head-pose

:fire::fire: Deep Learning Head Pose Estimation using PyTorch.

deep-image-analogy

The source code of 'Visual Attribute Transfer through Deep Image Analogy'.

deep-image-analogy-pytorch

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

deep-image-analogy-pytorch-1

A python implementation of Deep-Image-Analogy based on pytorch. Please star this project if it helps :D

deep-image-matting

This is tensorflow implementation for paper "Deep Image Matting"

deep-image-prior

Image restoration with neural networks but without learning.

deep-jammer

deep-koalarization

Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

deep-learning

深度学习/人工智能/机器学习资料汇总(Deep Learning/Artificial Intelligent/Machine Learning) 持续更新……

deep-learning-1

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the MNIST dataset, namely, a CNN using Keras and a fully-connected network using TensorFlow.

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"