Alternatives and similar repositories for bitboost:

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

• AlCorreia / GeFs
  Generative Forests in Python
  ☆36Updated last year
• arranger1044 / probabilistic-circuits
  A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
  ☆49Updated last year
• AishwaryaSivaraman / COMET
  Counterexample-Guided Learning of Monotonic Networks
  ☆18Updated 2 years ago
• laudv / veritas
  Versatile Verification of Tree Ensembles
  ☆17Updated 9 months ago
• aia-uclouvain / pydl8.5
  An algorithm for learning optimal decision trees, with Python interface
  ☆63Updated last year
• vzantedeschi / LatentTrees
  Code source of Learning Binary Trees by Argmin Differentiation.
  ☆12Updated 2 years ago
• arranger1044 / DEBD
  A collection of commonly used datasets as benchmarks for density estimation in MaLe
  ☆19Updated 5 years ago
• srlearn / srlearn
  ☕ A Python library for gradient-boosted statistical relational models / learning probabilistic relational programs.
  ☆31Updated 2 years ago
• probabilistic-learning / abda
  Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19
  ☆21Updated 6 years ago
• unitn-sml / pyconstruct
  Python library for declarative, constrained, structured-output prediction.
  ☆21Updated last year
• arranger1044 / spyn
  Sum-Product Network learning routines in python
  ☆27Updated 9 years ago
• art-ai / pypsdd
  The Python PSDD Package
  ☆16Updated 6 months ago
• UCLA-StarAI / LearnPSDD
  ☆15Updated 6 years ago
• joschout / tilde
  Top-down induction of first-order logical decision trees: master AI thesis implementation
  ☆23Updated 4 years ago
• xiyanghu / OSDT
  Optimal Sparse Decision Trees
  ☆103Updated last year
• argmaxml / conjugate_prior
  Implementation of the conjugate prior table for Bayesian Statistics
  ☆52Updated 8 months ago
• pyro-ppl / funsor
  Functional tensors for probabilistic programming
  ☆239Updated last year
• probcomp / trcrpm
  Temporally-reweighted Chinese restaurant process mixture models for multivariate time series
  ☆37Updated last year
• probsys / sppl
  Probabilistic programming system for fast and exact symbolic inference
  ☆79Updated 8 months ago
• trappmartin / BayesianSumProductNetworks
  Implementation of Bayesian Sum-Product Networks
  ☆13Updated 4 years ago
• emlopt / emllib
  Empirical Model Learning Library
  ☆19Updated 2 years ago
• rawls238 / Bandits.jl
  Implementation of multi-armed bandits in Julia
  ☆12Updated 5 years ago
• ML-KULeuven / PySDD
  Python package for Sentential Decision Diagrams (SDD)
  ☆56Updated last month
• weighted-model-integration / pywmi
  ☆19Updated 2 years ago
• ML-KULeuven / deepstochlog
  ☆29Updated last year
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆77Updated last year
• cambridge-mlg / EinsumNetworks
  ☆52Updated last year
• amzn / MXFusion
  Modular Probabilistic Programming on MXNet
  ☆104Updated last year
• UCLA-StarAI / Density-Estimation-Datasets
  A collection of commonly used datasets as benchmarks for density estimation
  ☆24Updated 5 years ago