Alternatives and similar repositories for py_experimenter:

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

• automl / neps
  Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
  ☆74Updated this week
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆54Updated 4 months ago
• automl / DeepCAVE
  An interactive framework to visualize and analyze your AutoML process in real-time.
  ☆87Updated last week
• geoalgo / slurmpilot
  Launching and monitoring Slurm experiments in Python
  ☆18Updated last month
• ValentinMargraf / ActiveLearningPipelines
  Specificy, execute and monitor performances of active learning pipelines.
  ☆22Updated 7 months ago
• automl / ifBO
  In-context Bayesian Optimization
  ☆16Updated this week
• kiudee / pareto-embeddings
  Advanced choice modeling with multidimensional utility representations.
  ☆12Updated 10 months ago
• automl / DEHB
  ☆79Updated last week
• Karim-53 / pdll
  Pairwise Difference Learning (PDL) is a meta-learning framework that leverages pairwise differences to transform multiclass problems into…
  ☆19Updated last week
• scikit-activeml / scikit-activeml
  scikit-activeml: Python library for active learning on top of scikit-learn
  ☆163Updated last week
• tml-tuebingen / nshap
  Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.
  ☆17Updated last year
• TRR318 / scikit-psl
  Scoring Lists – a probabilistic & incremental extension to Scoring Systems
  ☆16Updated last month
• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆146Updated last month
• slds-lmu / yahpo_gym
  Surrogate benchmarks for HPO problems
  ☆27Updated 3 months ago
• automl / amltk
  A build-it-yourself AutoML Framework
  ☆73Updated 6 months ago
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆229Updated last week
• openml-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆99Updated 8 months ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆26Updated last year
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated last year
• microsoft / ticl
  Tabular In-Context Learning
  ☆59Updated last month
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆133Updated 10 months ago
• automl / LCBench
  A learning curve benchmark on OpenML data
  ☆30Updated 5 months ago
• lektor-lol / lektor-lol.github.io
  a minimal website to get the diff of llm rewrites
  ☆11Updated 4 months ago
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆96Updated 2 weeks ago
• fmohr / lcdb
  ☆13Updated this week
• sherbold / autorank
  ☆76Updated 7 months ago
• benchopt / benchopt
  Making your benchmark of optimization algorithms simple and open
  ☆262Updated last week
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆172Updated this week
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆43Updated last month
• machinelearningnuremberg / DyHPO
  [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
  ☆12Updated 2 years ago