rjagerman / shoelaceLinks
Neural Learning to Rank using Chainer
☆31Updated 5 years ago
Alternatives and similar repositories for shoelace
Users that are interested in shoelace are comparing it to the libraries listed below
Sorting:
- Additive Groves, Bagged Trees with Feature Evaluation, Interaction Detection, Visualization of Feature Effects.☆66Updated 4 years ago
- Official repository of RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions.☆88Updated 5 years ago
- A PyTorch implementation of a Factorization Machine module in cython.☆173Updated 7 years ago
- FastXML / PFastXML / PFastreXML - Implementation of Extreme Multi-label Classification☆149Updated last year
- This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to ran…☆89Updated 2 years ago
- PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.☆204Updated 7 years ago
- ☆63Updated 5 years ago
- ☆27Updated 7 years ago
- Python Matrix Factorization Module☆138Updated 6 years ago
- Scalable Recommendation with Hierarchical Poisson Factorization P Gopalan, JM Hofman, DM Blei UAI, 326-335☆55Updated 10 years ago
- Official repository of QuickRank: A C++ suite of Learning to Rank algorithms.☆131Updated 6 years ago
- Context-sensitive ranking and choice in Python with PyTorch☆67Updated 2 years ago
- ☆275Updated 4 years ago
- Scalable tensor factorization☆54Updated 10 years ago
- 🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.☆83Updated 3 years ago
- Hash Embedding code for the paper "Hash Embeddings for Efficient Word Representations"☆42Updated 7 years ago
- Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time accordin…☆48Updated 9 years ago
- A library for factorization machines and polynomial networks for classification and regression in Python.☆245Updated 5 years ago
- Learning to Rank with Deep Neural Networks☆155Updated 10 years ago
- Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.☆23Updated 2 years ago
- Experimentation for oracle based contextual bandit algorithms.☆33Updated 3 years ago
- My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.☆248Updated 6 years ago
- Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend item…☆147Updated 10 years ago
- A repository for Neural Document Ranking Models.☆83Updated 7 years ago
- Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM☆224Updated 6 years ago
- Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.☆43Updated 8 years ago
- Factorization Machine for regression and classification☆98Updated 8 years ago
- Doc2VecC from the paper "Efficient Vector Representation for Documents through Corruption"☆186Updated 8 years ago
- code for our paper Baselines and Bigrams: Simple, Good Sentiment and Topic Classification☆135Updated 9 years ago
- CoFactor: Regularizing Matrix Factorization with Item Co-occurrence☆165Updated 8 years ago