464 Open source projects that are alternatives of or similar to Collaborative Rnn

Automatically generate headlines to short articles

Large scale training of factorization models for Collaborative Filtering with PyTorch

此项目致力于构建一套最基础，最精简，可维护的react-native项目，支持ios，android 🌹

Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.

TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems

A Clojure library for querying large data-sets on similarity

sliced-rnn

Data augmentation for NLP, presented at EMNLP 2019

Char-RNN implemented using TensorFlow.

Deep Learning neural network for correcting spelling

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

🎬instant recommending or finding or downloading movies via the command line

🌊 Numerically solving and backpropagating through the wave equation

论文“Attention-over-Attention Neural Networks for Reading Comprehension”中AoA模型实现

Implementing Recurrent Neural Network from Scratch

A Deep Learning Recommender System

SASRec: Self-Attentive Sequential Recommendation

Attention,Factorization Machine, Deep Learning, Recommender System

TensorFlow Implementation of Attentional Factorization Machine

Chatbot in 200 lines of code using TensorLayer

Multiple implementations for abstractive text summurization , using google colab

TensorFlow Tutorial for Time Series Prediction

Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.

Tensorflow implementation of attention mechanism for text classification tasks.

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

All about Neural Networks!

CNN-RNN中文文本分类，基于TensorFlow

Code for Tensorflow Machine Learning Cookbook

A Curated List of Must-read Papers on Recommender System.

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！

Stock Price Prediction using Machine Learning Techniques

A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

Papers about recommendation systems that I am interested in

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

A Comparative Framework for Multimodal Recommender Systems

Real-time ADLs and Fall Detection implement TensorFlow

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

WTTE-RNN a framework for churn and time to event prediction

RecDB is a recommendation engine built entirely inside PostgreSQL

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

阅读过的推荐系统论文的归类总结，持续更新中…

Recurrence the recommender paper with Tensorflow2.0

A deep learning library to provide algs in pure Numpy or Tensorflow.

language model in Chinese，基于Pytorch官方文档实现

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Материалы третьего набора офлайн-программы Data Scientist.

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

This is our implementation of JNSKR: Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation (SIGIR 2020)

Sentiment Analysis with LSTMs in Tensorflow

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

深度学习入门教程, 优秀文章, Deep Learning Tutorial

A top-down, practical guide to learn AI, Deep learning and Machine Learning.

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.