amirunpri2018 Goto Github PK

dbtable-ui-kit

dbxfs

User-space file system for Dropbox

dc_tts

A TensorFlow Implementation of DC-TTS: yet another text-to-speech model

dcgan_code

Deep Convolutional Generative Adversarial Networks

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

dcrnn_pytorch

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

dcscn-super-resolution

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

ddpae-video-prediction

Learning to Decompose and Disentangle Representations for Video Prediction, NIPS 2018

ddpg_numpy_only

Implemenation of DDPG with numpy only (without Tensorflow)

dead-simple-grid

Dead Simple Grid is a responsive CSS grid micro framework that is just that. Dead simple.

dec-keras

Keras implementation for Deep Embedding Clustering (DEC)

decanlp

The Natural Language Decathlon: A Multitask Challenge for NLP

decision-support-systems

A Mobile Phone based Intelligent Scoring Approach for Assessment of Critical Illness

decouplednet

DecoupledNet: Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation

decres

Deep learning for identifying cis-regulatory elements and other applications

deep-anpr

Using neural networks to build an automatic number plate recognition system

deep-columnar-convolutional-neural-network

Deep Columnar Convolutional Neural Network architecture, which is based on Multi Columnar DNN (Ciresan 2012).

deep-convolution-stock-technical-analysis

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

deep-face-recognition

One-shot Learning and deep face recognition notebooks and workshop materials

deep-feature-flow

Deep Feature Flow for Video Recognition

deep-flow-guided-video-inpainting

pytorch implementation for "Deep Flow-Guided Video Inpainting"(CVPR'19)

deep-homography

Implementation of Deep Homography in Keras

deep-image-analogy-tf

deep-image-matting

Deep Image Matting

deep-image-prior

Image restoration with neural networks but without learning.

deep-image-steganography

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-landmark

Predict facial landmarks with Deep CNNs powered by Caffe.

deep-learning

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.