Alternatives and similar repositories for rbo

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

• pulearn / pulearn
  Positive-unlabeled learning with Python.
  ☆236Updated 2 weeks ago
• krishnanlab / PecanPy
  A fast, parallelized, memory efficient, and cache-optimized Python implementation of node2vec
  ☆164Updated last week
• AstraZeneca / rexmex
  A general purpose recommender metrics library for fair evaluation.
  ☆279Updated last year
• vveitch / causal-text-embeddings-tf2
  Tensorflow 2 implementation of Causal-BERT
  ☆71Updated last year
• louisabraham / fastnode2vec
  Fast and scalable node2vec implementation
  ☆95Updated 2 years ago
• dlukes / rbo
  Python implementation of the rank-biased overlap list similarity measure.
  ☆70Updated 5 years ago
• scikit-learn-contrib / hiclass
  A python library for hierarchical classification compatible with scikit-learn
  ☆133Updated 4 months ago
• VHRanger / CSRGraph
  A tiny library for larger graphs
  ☆118Updated 9 months ago
• kunaldahiya / pyxclib
  Tools for multi-label classification problems.
  ☆128Updated 3 months ago
• autonlab / weasel
  Weakly Supervised End-to-End Learning (NeurIPS 2021)
  ☆157Updated 2 years ago
• cvangysel / pytrec_eval
  pytrec_eval is an Information Retrieval evaluation tool for Python, based on the popular trec_eval.
  ☆325Updated last year
• flemmerich / pysubgroup
  ☆65Updated 8 months ago
• microsoft / ASTRA
  Self-training with Weak Supervision (NAACL 2021)
  ☆160Updated last year
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 5 years ago
• amaiya / causalnlp
  CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.
  ☆148Updated 5 months ago
• globality-corp / sklearn-hierarchical-classification
  ☆66Updated 2 years ago
• amzn / pecos
  PECOS - Prediction for Enormous and Correlated Spaces
  ☆534Updated 5 months ago
• ermongroup / pirank
  PiRank: Learning to Rank via Differentiable Sorting
  ☆60Updated 2 years ago
• g8a9 / ferret
  A python package for benchmarking interpretability techniques on Transformers.
  ☆213Updated 9 months ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆67Updated last year
• joaopalotti / trectools
  A simple toolkit to process TREC files in Python.
  ☆173Updated 10 months ago
• VarIr / scikit-hubness
  A Python package for hubness analysis and high-dimensional data mining
  ☆45Updated last year
• interpretml / interpret-text
  A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in …
  ☆426Updated last year
• dssg / fairness_tutorial
  Hands-on tutorial on ML Fairness
  ☆72Updated last year
• interpretml / fastSparse
  ☆23Updated last year
• lmcinnes / enstop
  Ensemble topic modelling with pLSA
  ☆115Updated 3 years ago
• rpryzant / deconfounded-lexicon-induction
  Find text features that are most related to an outcome, controlling for confounds.
  ☆60Updated 11 months ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆76Updated 4 years ago
• GTmac / FastRP
  Code for the CIKM 2019 Paper "Fast and Accurate Network Embeddings via Very Sparse Random Projection"
  ☆57Updated 5 years ago