Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.
☆53Apr 6, 2019Updated 7 years ago
Alternatives and similar repositories for Improving-RNN-recommendation-model
Users that are interested in Improving-RNN-recommendation-model are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆367Mar 19, 2024Updated 2 years ago
- Explore CNN/LSTM/GRU parallel architectures for movie recommendations using Keras & TensorFlow in Python☆51Jan 4, 2018Updated 8 years ago
- Keras implementation of GRU4Rec session-based recommender system☆106Jul 30, 2024Updated 2 years ago
- ☆21Nov 5, 2018Updated 7 years ago
- Session-based Recommendations with Recurrent Neural Networks (GRU4Rec) Tutorial☆12Feb 7, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆11May 8, 2020Updated 6 years ago
- ☆134Dec 6, 2017Updated 8 years ago
- some papers about the recommender system☆23Jul 9, 2018Updated 8 years ago
- Contextual Recommendation Implementation for Research Purposes☆19Jul 3, 2024Updated 2 years ago
- A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).☆59Aug 16, 2018Updated 8 years ago
- TensorFlow implemenation of GRu4Rec model☆217Jun 18, 2019Updated 7 years ago
- A news recommendation evaluation framework☆45Oct 17, 2018Updated 7 years ago
- ☆101May 11, 2020Updated 6 years ago
- Using Keras to implement recommender systems☆325Dec 19, 2016Updated 9 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Implementation of Deep Learning model for Recommendation System in Tensorflow☆13Aug 10, 2017Updated 9 years ago
- ☆12May 28, 2018Updated 8 years ago
- django后台，python处理头像声纹的画用户基本画像的项目☆13Feb 21, 2017Updated 9 years ago
- TensorFlow code and pre-trained models for BERT☆11May 2, 2019Updated 7 years ago
- ☆12Nov 29, 2017Updated 8 years ago
- The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior …☆72Aug 4, 2018Updated 8 years ago
- a large scale lbfgs using a method in nips 2014 paper "Large-scale L-BFGS using MapReduce".☆13May 30, 2015Updated 11 years ago
- A simple quiz android application☆13Jan 18, 2019Updated 7 years ago
- An implementation of "Deep Content-User Embedding Model for Music Recommendation" in Keras☆32Oct 30, 2018Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Some deep learning based recsys for open learning.☆399May 22, 2018Updated 8 years ago
- SVD & BPR+MatrixFactorization using a movie rating dataset; RNN+BPR+BPTT using taobao marketing dataset☆50Apr 4, 2018Updated 8 years ago
- My implementation of Factorization Machine in PyTorch.☆18May 27, 2019Updated 7 years ago
- Deep Learning for Recommendation☆34Aug 18, 2017Updated 9 years ago
- learn linux for notes☆12Jan 28, 2021Updated 5 years ago
- Code for One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning (AAAI 2022)☆11Mar 1, 2022Updated 4 years ago
- 深度矩阵分解模型 与 带注意力的深度矩阵分解模型☆10May 17, 2018Updated 8 years ago
- A subreddit recommender☆11May 6, 2019Updated 7 years ago
- WebNN (WNN) is a JavaScript framework for distribution and training of Neural Networks (NN) through the internet. This is a large part of…☆10May 12, 2018Updated 8 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- 本系统是基于物品（item-based）的系统过滤算法。协同过滤推荐技术被认为是推荐系统算法中应用最为成功的技术之一。它通常采用最近邻（K-Nearest-Neighbor， KNN）算法，利用用户的历史记录来计算用户之间的距离，然后利用目标用户的最近邻用户对物品评价来预测…☆14Dec 18, 2019Updated 6 years ago
- Anomaly Detection Discriminative GAN (ADD-GAN)☆15Oct 9, 2017Updated 8 years ago
- 一种song2vec、artist2vec的实践☆49Jun 6, 2020Updated 6 years ago
- A side project to build recommendation systems of videos, and to explore related algorithms.☆10Jul 21, 2018Updated 8 years ago
- Rossmann Store Sales: https://www.kaggle.com/c/rossmann-store-sales☆10May 13, 2018Updated 8 years ago
- 基于用户行为的推荐算法大赛---第四名（临兵斗列）☆41Oct 27, 2016Updated 9 years ago
- ICCV 2019 Tutorial: Global Optimization for Geometric Understanding with Provable Guarantees☆15Oct 20, 2022Updated 3 years ago