Alternatives and similar repositories for shoelace

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

• 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
• dsv77 / hashembedding
  Hash Embedding code for the paper "Hash Embeddings for Efficient Word Representations"
  ☆42Updated 7 years ago
• hpclab / LtR-Tutorial
  Efficiency/Effectiveness Trade-offs in Learning to Rank
  ☆12Updated 6 years ago
• HarrieO / OnlineLearningToRank
  ☆63Updated 4 years ago
• kiudee / cs-ranking
  Context-sensitive ranking and choice in Python with PyTorch
  ☆66Updated 2 years ago
• dariasor / TreeExtra
  Additive Groves, Bagged Trees with Feature Evaluation, Interaction Detection, Visualization of Feature Effects.
  ☆65Updated 4 years ago
• cgnorthcutt / rankpruning
  🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
  ☆82Updated 3 years ago
• ten-blue-links / fxt
  A large scale feature extraction tool for text-based machine learning
  ☆32Updated 2 years ago
• cvangysel / cuNVSM
  Neural Vector Space Models
  ☆49Updated 6 years ago
• NLPrinceton / text_embedding
  utility class for building/evaluating document representations
  ☆53Updated 5 years ago
• blei-lab / context-selection-embedding
  Context Selection for Embedding Models
  ☆27Updated 7 years ago
• PrincetonML / SemanticVector
  Word embedding approach based on a dynamic log-linear model
  ☆54Updated 7 years ago
• adith387 / slates_semisynth_expts
  Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.
  ☆43Updated 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
• olivierjeunen / dual-bandit-kdd-2020
  Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.
  ☆23Updated 2 years ago
• cemoody / flexi_hash_embedding
  PyTorch Flexible Hash Embeddings
  ☆28Updated 5 years ago
• zygmuntz / classifier-calibration
  Reliability diagrams, Platt's scaling, isotonic regression
  ☆76Updated 10 years ago
• mariru / exponential_family_embeddings
  Bernoulli Embeddings for Text
  ☆83Updated 7 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 8 years ago
• hanxiao / encoding-blocks
  Code for my blog post
  ☆49Updated 6 years ago
• maciejkula / binge
  Recommendation models that use binary rather than floating point operations at prediction time.
  ☆21Updated 7 years ago
• bhaskar-mitra / NDRM
  A repository for Neural Document Ranking Models.
  ☆84Updated 6 years ago
• Refefer / fastxml
  FastXML / PFastXML / PFastreXML - Implementation of Extreme Multi-label Classification
  ☆147Updated last year
• rth / pysofia
  bindings for the sofia-ml machine learning library
  ☆37Updated last year
• hpclab / quickrank
  Official repository of QuickRank: A C++ suite of Learning to Rank algorithms.
  ☆131Updated 6 years ago
• hamed-zamani / snrm
  Standalone Neural Ranking Model (SNRM)
  ☆76Updated 6 years ago
• olivkoch / intro-to-reco
  introduction class to recommendation systems
  ☆22Updated 5 years ago
• FlorianWilhelm / lda4rec
  🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.
  ☆42Updated 3 years ago
• rjagerman / sigir2020
  Accelerated Confergence for Counterfactual Learning to Rank
  ☆17Updated 3 years ago