mkurovski / deep_learning_recsys
Deep Learning for Recommender Systems - Master Thesis, Current Results and Architecture
☆93Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for deep_learning_recsys
- Builds a recommender system using TensorFlow☆86Updated 7 years ago
- A repository of machine learning codes written for re-usability☆144Updated 4 years ago
- ☆50Updated 3 years ago
- Experiments on how to use machine learning to rank a product catalog☆83Updated 7 years ago
- 1'st Place Approach by Layer6 AI to the 2018 ACM RecSys Challenge☆83Updated 10 months ago
- ☆99Updated 4 years ago
- Jupyter Notebooks for Strata Data Conference NY 2017 Deep Learning for Recommender Systems Tutorial☆22Updated 7 years ago
- ☆27Updated 5 years ago
- A tour through recommendation algorithms in python [IN PROGRESS]☆176Updated this week
- environment setup for strata conference 2018☆68Updated 6 years ago
- Experimentations on beers recsys using Keras☆25Updated 6 years ago
- Low-Rank Matrix Factorization for Recommender Systems☆75Updated 8 years ago
- Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.☆53Updated 5 years ago
- A complete set of Recommender Systems techniques used in the Spotify Recsys Challenge 2018 developed by a team of MSc students in Politec…☆98Updated 5 years ago
- ☆23Updated 5 years ago
- ☆61Updated 2 months ago
- Simple but Flexible Recommendation Engine in PyTorch☆131Updated 2 years ago
- Using Deep Autoencoders for predictions of movie ratings.☆112Updated last year
- Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop☆92Updated last year
- Predict Toxic Comments in the wild☆41Updated 6 years ago
- An experiment on explicit vs implicit feedback recommenders☆25Updated 6 years ago
- Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data☆171Updated 3 months ago
- No Regrets: A deep dive comparison of bandits and A/B testing☆47Updated 6 years ago
- ☆16Updated 5 years ago
- Large scale training of factorization models for Collaborative Filtering with PyTorch☆55Updated last year
- Repository for experiments with MetaProd2Vec and related algorithms.☆58Updated 5 years ago
- Embed categorical variables via neural networks.☆59Updated last year
- Finding customer lookalikes using Machine Learning in PySpark☆33Updated 6 years ago
- Solution of RecSys Challenge 2015☆91Updated 8 years ago
- Recommendation Models in TensorFlow☆45Updated 5 years ago