| wubinzzu/NeuRec |
861 |
|
0 |
0 |
over 4 years ago |
1 |
November 04, 2019 |
15 |
|
Python |
| Next RecSys Library |
| dawenl/vae_cf |
309 |
|
0 |
0 |
over 8 years ago |
0 |
|
11 |
apache-2.0 |
Jupyter Notebook |
| Variational autoencoders for collaborative filtering |
| artem-oppermann/Deep-Autoencoders-For-Collaborative-Filtering |
111 |
|
0 |
0 |
about 3 years ago |
0 |
|
5 |
apache-2.0 |
Python |
| Using Deep Autoencoders for predictions of movie ratings. |
| makgyver/rectorch |
104 |
|
0 |
0 |
almost 6 years ago |
7 |
May 27, 2020 |
1 |
mit |
Python |
| rectorch is a pytorch-based framework for state-of-the-art top-N recommendation |
| amoussawi/recoder |
48 |
|
0 |
0 |
about 5 years ago |
5 |
April 10, 2021 |
0 |
mit |
Python |
| Large scale training of factorization models for Collaborative Filtering with PyTorch |
| PreferredAI/bi-vae |
30 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
Python |
| Code for the paper "Bilateral Variational Autoencoder for Collaborative Filtering", WSDM'21 |
| RaptorMai/Deep-AutoEncoder-Recommendation |
26 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| Keras implementation of AutoRec and DeepRecommender from Nvidia. |
| marlesson/recsys_autoencoders |
23 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| This project implements different Deep Autoencoder for Collaborative Filtering for Recommendation Systems in Keras |
| Chinmayrane16/DeepRecommender |
11 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Training Deep AutoEncoders for Collaborative Filtering |
