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adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference

building-recommender-systems-with-machine-learning-and-ai

Building Recommender Systems with Machine Learning and AI, published by Packt

cit_lstm_timeseries

LSTM Model for Electric Load Forecasting

collaborative-deep-learning-for-recommender-systems

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

collaborative-rnn

A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).

datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

deep-autoencoder-recommendation

Keras implementation of AutoRec and DeepRecommender from Nvidia.

deep-autoencoders-for-collaborative-filtering

Using Deep Autoencoders for predictions of movie ratings.

deep-learning-for-recommendation-systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deep-reinforcement-learning-recommendation-system

Deep-Reinforcement-Learning-Recommendation-System

deep_learning_recsys

Deep Learning for Recommender Systems - Master Thesis, Current Results and Architecture

deeplearning4recommendersystem

deep learning for recommender system

deeprecommender

Deep learning for recommender systems

dlaicourse

Notebooks for learning deep learning

dlrm

An implementation of a deep learning recommendation model (DLRM)

do101-apps

do180-apps

DO180 Repository for Sample Applications

drl4recsys

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

electric-power-hourly-load-forecasting-using-recurrent-neural-networks

This project aims to predict the hourly electricity load in Toronto based on the loads of previous 23 hours using LSTM recurrent neural network.

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

flutter

Flutter makes it easy and fast to build beautiful apps for mobile and beyond

fullstack-course4

Example code for HTML, CSS, and Javascript for Web Developers Coursera Course

greek-electric-load-forecasting-ipto

This repo contains the code for my postgraduate thesis dealing with Short-term Load Forecasting, predicting the electric load demand per hour in Greece, developed in R, RStudio, R-markdown and R-Shiny using daily load datasets provided by the Greek Independent Power Transmission Operator (I.P.T.O.). A presentation of the thesis' results can be found at the following website:

gru4rec_tensorflow

TensorFlow implemenation of GRu4Rec model

handong1587.github.io

image-recognition-with-deep-learning

Image Classifier using Transfer Learning

improving-rnn-recommendation-model

Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.

ippd

Mao Tan, Siping Yuan, Shuaihu Li, Yongxin Su, Hui Li, Feng He, Ultra-short-term industrial power demand forecasting using LSTM based hybrid ensemble learning, IEEE Trans. on Power System, 2019, doi:10.1109/TPWRS.2019.2963109.

kerasgru4rec

Keras implementation of GRU4Rec session-based recommender system