hninthant Goto Github PK
Type: User
Type: User
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference
Building Recommender Systems with Machine Learning and AI, published by Packt
LSTM Model for Electric Load Forecasting
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.
A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Keras implementation of AutoRec and DeepRecommender from Nvidia.
Using Deep Autoencoders for predictions of movie ratings.
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
List of papers, code and experiments using deep learning for time series forecasting
Deep-Reinforcement-Learning-Recommendation-System
Deep Learning for Recommender Systems - Master Thesis, Current Results and Architecture
deep learning for recommender system
Deep learning for recommender systems
Notebooks for learning deep learning
An implementation of a deep learning recommendation model (DLRM)
DO180 Repository for Sample Applications
Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
This project aims to predict the hourly electricity load in Toronto based on the loads of previous 23 hours using LSTM recurrent neural network.
A MNIST-like fashion product database. Benchmark :point_right:
Flutter makes it easy and fast to build beautiful apps for mobile and beyond
Example code for HTML, CSS, and Javascript for Web Developers Coursera Course
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:
TensorFlow implemenation of GRu4Rec model
Image Classifier using Transfer Learning
Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.
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.
Keras implementation of GRU4Rec session-based recommender system
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.