karlhigley / ranking-metrics-torchLinks
Simple ranking metrics for PyTorch on CPU or GPU
☆15Updated 5 years ago
Alternatives and similar repositories for ranking-metrics-torch
Users that are interested in ranking-metrics-torch are comparing it to the libraries listed below
Sorting:
- Personalized Item Exploration Processes for Recommendation☆15Updated 6 years ago
- [ NeurIPS '22 ] ∞-AE model's implementation in JAX. Kernel-only method outperforms complicated SoTA models with a closed-form solution an…☆55Updated 2 years ago
- 🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.☆42Updated 3 years ago
- [ NeurIPS '22 ] Data distillation for recommender systems. Shows equivalent performance with 2-3 orders less data.☆23Updated 2 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 5 years ago
- ☆18Updated 5 months ago
- GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition☆31Updated 3 years ago
- PyTorch Flexible Hash Embeddings☆28Updated 5 years ago
- ☆104Updated last year
- Accelerated Confergence for Counterfactual Learning to Rank☆17Updated 3 years ago
- FINN.no Slate Dataset for Recommender Systems. A dataset containing all interactions (viewed items + response (clicked item / no click) f…☆53Updated 2 years ago
- Tutorial for Multi-Stakeholder Recommender Systems☆22Updated 4 years ago
- Repository for experiments with MetaProd2Vec and related algorithms.☆59Updated 6 years ago
- Source code for our paper "Top-K Contextual Bandits with Equity of Exposure" published at RecSys 2021.☆15Updated 4 years ago
- PiRank: Learning to Rank via Differentiable Sorting☆61Updated 2 years ago
- The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators☆53Updated 2 years ago
- Deep Recommenders with Python: A Python library for building Deep Learning based Recommender Systems☆28Updated 4 years ago
- https://sites.google.com/cornell.edu/recsys2021tutorial☆56Updated 3 years ago
- Source code for our LBR paper "Closed-Form Models for Collaborative Filtering with Side-Information" published at RecSys 2020.☆15Updated 4 years ago
- Model for learning document embeddings along with their uncertainties☆36Updated last year
- Extremely simple and fast extreme multi-class and multi-label classifiers.☆70Updated last week
- ☆51Updated 4 years ago
- Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.☆23Updated 2 years ago
- Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders (RecSys 2021)☆20Updated 4 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆30Updated 4 years ago
- ☆18Updated 3 years ago
- Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…☆50Updated 2 years ago
- ☆29Updated 4 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
- Vectorizers for a range of different data types☆103Updated last month