AziziShekoofeh

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Time-series-Classification

Classification of Time-series data with RNN

tensorflow_in_practice_specialization

TensorFlow in Practice Specialization

gatedconvolution_pytorch

A modified reimplemented in pytorch of inpainting model in Free-Form Image Inpainting with Gated Convolution [http://jiahuiyu.com/deepfill2/]

Ascend-Canada

matLearn

matLearn: machine learning algorithm implementations in Matlab

learning-to-learn

Learning to Learn in TensorFlow

sample-imageinpainting-HiFill

Associative_LSTM

LSTM with associative memory cells (http://arxiv.org/abs/1602.03032)

beautiful-jekyll

:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

DatasetProcessing

deeplearning-models

A collection of various deep learning architectures, models, and tips

general-deep-image-completion

A Deep Image Completion Model for Recovering Various Corrupted Images

generative_inpainting

Generative Image Inpainting with Contextual Attention https://arxiv.org/abs/1801.07892, demo http://jiahuiyu.com/deepfill

google-interview-university

A complete daily plan for studying to become a Google software engineer.

Introduction-to-Python-Programming

keras

Deep Learning for humans

LSTM-MATLAB

LSTM-MATLAB is Long Short-term Memory (LSTM) in MATLAB, which is meant to be succinct, illustrative and for research purpose only. It is accompanied with a paper for reference: Revisit Long Short-Term Memory: An Optimization Perspective, NIPS deep learning workshop, 2014.

LSTM-Neural-Network-for-Time-Series-Prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

LSTM_tsc

An LSTM for time-series classification

medical-ai-research-foundations

models

Models built with TensorFlow

ncappzoo

Contains examples for the Movidius Neural Compute Stick.

Recent-Interesting-Paper

Semantic-Segmentation-Suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

tensorflow

Computation using data flow graphs for scalable machine learning

tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

TF-Movidius-Finetune

Workspace for fine-tuning or apply transfer learning to a pre-trained Tensorflow models to a image db and formatting to Movidius NCSDK compatible format

vLSTM

Vectorized multimodal LSTM using Matlab and GPU

VNet