bradleypallen / keras-movielens-cf
A set of Jupyter notebooks demonstrating collaborative filtering using matrix factorization with Keras.
☆82Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for keras-movielens-cf
- Using Keras to implement recommender systems☆329Updated 7 years ago
- Builds a recommender system using TensorFlow☆86Updated 7 years ago
- Neural network recommendation models in PyTorch☆58Updated 7 years ago
- A Tensorflow based implicit recommender system☆107Updated 4 years ago
- **Under construction**☆30Updated 6 years ago
- Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.☆53Updated 5 years ago
- Recommendation engine based on contextual word embeddings☆137Updated 8 years ago
- Solution to the Outbrain Click Prediction competition☆146Updated 7 years ago
- Recommendation Models in TensorFlow☆45Updated 5 years ago
- Collaborative Deep Learning for Recommender Systems.☆72Updated 7 years ago
- ☆47Updated 6 years ago
- 2nd Place Solution of the Kaggle Competition - Santander Product Recommendation☆173Updated 2 years ago
- rnn based model for recommendations☆90Updated 3 years ago
- A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).☆61Updated 6 years ago
- Using Deep Autoencoders for predictions of movie ratings.☆112Updated last year
- pywFM is a Python wrapper for Steffen Rendle's factorization machines library libFM☆250Updated 5 years ago
- ☆169Updated 6 years ago
- Compute and plot NDCG for a recommender system☆96Updated 7 years ago
- An example of doing MovieLens recommendations using triplet loss in Keras☆421Updated 4 years ago
- 2nd Place Solution for Kaggle Porto Seguro's Safe Driver Prediction☆156Updated 5 years ago
- This repository contains Deep Learning based articles , paper and repositories for Recommender Systems☆22Updated 7 years ago
- Implemented Item, User and Hybrid based Collaborative Filtering☆158Updated 9 years ago
- User-based and Item-based Collaborative Filtering algorithms written in Python☆72Updated 7 years ago
- wide and deep labs and samples☆140Updated 5 years ago
- ☆46Updated 7 years ago
- ☆371Updated 7 months ago
- Pedagogical example realization of wide & deep networks, using TensorFlow and TFLearn.☆146Updated 8 years ago
- CoFactor: Regularizing Matrix Factorization with Item Co-occurrence☆164Updated 7 years ago
- Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)☆284Updated 7 years ago
- **deprecated**☆53Updated 6 years ago