Alternatives and similar repositories for shoelace:

Users that are interested in shoelace are comparing it to the libraries listed below

• dariasor / TreeExtra
  Additive Groves, Bagged Trees with Feature Evaluation, Interaction Detection, Visualization of Feature Effects.
  ☆65Updated 4 years ago
• hpclab / LtR-Tutorial
  Efficiency/Effectiveness Trade-offs in Learning to Rank
  ☆12Updated 6 years ago
• hpclab / rankeval
  Official repository of RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions.
  ☆89Updated 4 years ago
• maciejkula / mixture
  ☆27Updated 7 years ago
• cgnorthcutt / rankpruning
  🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
  ☆82Updated 2 years ago
• DomainGroupOSS / ml-recsys-tools
  ☆16Updated 6 years ago
• dsv77 / hashembedding
  Hash Embedding code for the paper "Hash Embeddings for Efficient Word Representations"
  ☆42Updated 7 years ago
• khui / copacrr
  The code for COPACRR Neural IR model.
  ☆37Updated 7 years ago
• ten-blue-links / fxt
  A large scale feature extraction tool for text-based machine learning
  ☆32Updated 2 years ago
• QingyaoAi / Unbiased-Learning-to-Rank-with-Unbiased-Propensity-Estimation
  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
• THUIR / PSCMModel
  ☆27Updated 9 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 8 years ago
• HarrieO / OnlineLearningToRank
  ☆63Updated 4 years ago
• bmcfee / mlr
  Metric Learning to Rank
  ☆46Updated 11 years ago
• mrorii / github_lda
  GitHub LDA - Collaborative Topic Modeling for Recommending GitHub Repos
  ☆33Updated 9 years ago
• kramerlab / direct-ranker
  Code and Supplementary Material to the Paper: Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysi…
  ☆36Updated last year
• higgood / incremental-word2vec
  Modify word2vec such that it's possible to "condition" on existing embeddings for some words, and induce embeddings for new words.
  ☆39Updated 9 years ago
• olivierjeunen / dual-bandit-kdd-2020
  Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.
  ☆22Updated last year
• bmitra-msft / Demos
  A bag of miscellaneous demos!
  ☆13Updated 8 years ago
• blei-lab / context-selection-embedding
  Context Selection for Embedding Models
  ☆27Updated 7 years ago
• blei-lab / DynamicPoissonFactorization
  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
• NLPrinceton / text_embedding
  utility class for building/evaluating document representations
  ☆53Updated 5 years ago
• shashankg7 / glove-theano
  GloVe Word Embedding model's implementation in theano
  ☆36Updated 7 years ago
• bmitra-msft / NDRM
  A repository for Neural Document Ranking Models.
  ☆84Updated 6 years ago
• kiudee / cs-ranking
  Context-sensitive ranking and choice in Python with PyTorch
  ☆66Updated 2 years ago
• hpclab / quickrank
  Official repository of QuickRank: A C++ suite of Learning to Rank algorithms.
  ☆131Updated 6 years ago
• rth / pysofia
  bindings for the sofia-ml machine learning library
  ☆37Updated last year
• mcskinner / ecom-rakuten
  Winning solution for the Rakuten Data Challenge, as part of SIGIR eCom '18.
  ☆22Updated 6 years ago
• cemoody / flexi_hash_embedding
  PyTorch Flexible Hash Embeddings
  ☆28Updated 5 years ago
• jeanigarcia / recsys2018-evaluation-tutorial
  ☆78Updated 6 years ago