464 Open source projects that are alternatives of or similar to Dream

Machine Learning (EE 5184) in NTU

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"

TensorFlow implemenation of GRu4Rec model

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

Attention,Factorization Machine, Deep Learning, Recommender System

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

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

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

An open source recommender system service written in Go

A Clojure library for querying large data-sets on similarity

Deepfakes Video classification via CNN, LSTM, C3D and triplets

Deep Learning neural network for correcting spelling

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

All about Neural Networks!

图像识别与推荐系统两类

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.

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

Sentiment Analysis with LSTMs in Tensorflow

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks

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

TensorFlow Tutorial for Time Series Prediction

Data augmentation for NLP, presented at EMNLP 2019

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

PPPL deep learning disruption prediction package

Real-time ADLs and Fall Detection implement TensorFlow

A Deep Learning Recommender System

基于双向RNN，Attention机制的编解码神经机器翻译模型

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.

This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)

Boilerplate code for quickly getting set up to run language modeling experiments

An implementation of locality sensitive hashing with Hadoop

Building recommenders with Elastic Graph!

Recommender System Using Parallel Matrix Factorization

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

Flexible and extendable recommender system based on an abstract User-Product-Tag schema

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

🍊 👎 Add-on for Orange3 to support recommender systems.

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

RecQ: A Python Framework for Recommender Systems (TensorFlow Based)

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

fastFM: A Library for Factorization Machines

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

京东JData算法大赛-高潜用户购买意向预测

Sequence to sequence learning with MXNET

An implementation of RNN-RBM & GBRBM.

speech-to-text in pytorch

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

The Official Deep Learning Framework for Route-based Place Recognition

Chatbot in 200 lines of code using TensorLayer

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

A TensorFlow recommendation algorithm and framework in Python.

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Tensorflow implementation of attention mechanism for text classification tasks.

Event-based music generation with RNN using PyTorch

An index of algorithms for learning causality with data