cyfronet-fid / recommender-systemLinks
Reinforcement Learning Recommender System suggesting relevant scientific services to appropriate researchers
☆11Updated 11 months ago
Alternatives and similar repositories for recommender-system
Users that are interested in recommender-system are comparing it to the libraries listed below
Sorting:
- GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition☆31Updated 3 years ago
- Simple ranking metrics for PyTorch on CPU or GPU☆15Updated 4 years ago
- A set of methods for finding an appropriate number of topics in a text collection☆16Updated 4 months ago
- Tutorial for Multi-Stakeholder Recommender Systems☆22Updated 4 years ago
- Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching☆19Updated 6 years ago
- Tensorflow port implementation of Single Headed Attention RNN☆16Updated 5 years ago
- Materials for the "Recommender Systems through the lens of Decision Theory" tutorial delivered at the 30th Web Conference (WWW '21).☆11Updated 4 years ago
- Agents that build knowledge graphs and explore textual worlds by asking questions☆79Updated 2 years ago
- Notebooks on using transformers for sequential recommendation tasks☆17Updated 2 years ago
- 🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.☆42Updated 3 years ago
- Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders (RecSys 2021)☆20Updated 3 years ago
- ☆51Updated last year
- A PyTorch implementation of the ACM SIGKDD 2021 paper titled "PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-base…☆16Updated last year
- ✨🌲 Hierarchical extreme multiclass and multi-label classification.☆18Updated 2 years ago
- Tokenization across languages. Useful as preprocessing for subword tokenization.☆22Updated 2 years ago
- Project on Causal Machine learning CS 7290☆16Updated 5 years ago
- Pyinfer is a model agnostic tool for ML developers and researchers to benchmark the inference statistics for machine learning models or f…☆24Updated 4 years ago
- [Intemarché] Sales forecasting challenge☆11Updated 4 years ago
- SPEAR: Programmatically label and build training data quickly.☆108Updated last year
- ☆11Updated 2 years ago
- ☆13Updated 2 years ago
- Pipeline components that support partial_fit.☆46Updated last year
- Strategies to deploy deep learning models☆27Updated 7 years ago
- Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.☆11Updated 2 years ago
- A neural network hyper parameter tuner☆30Updated last year
- SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batchi…☆33Updated last year
- A Tiny, Pure Python implementation of Gradient Boosted Trees.☆14Updated 2 years ago
- A small repository to test Captum Explainable AI with a trained Flair transformers-based text classifier.☆26Updated 4 years ago
- ☆29Updated 3 years ago
- Measuring if attention is explanation with ROAR☆22Updated 2 years ago