Alternatives and similar repositories for pareto-embeddings

Users that are interested in pareto-embeddings are comparing it to the libraries listed below

• ValentinMargraf / ActiveLearningPipelines
  Specificy, execute and monitor performances of active learning pipelines.
  ☆23Updated last year
• rdnfn / feedback-forensics
  Feedback Forensics: An open-source toolkit to measure AI personality
  ☆23Updated this week
• Karim-53 / pdll
  Pairwise Difference Learning (PDL) is a meta-learning framework that leverages pairwise differences to transform multiclass problems into…
  ☆22Updated 2 months ago
• TRR318 / scikit-psl
  Scoring Lists – a probabilistic & incremental extension to Scoring Systems
  ☆18Updated 5 months ago
• tornede / py_experimenter
  The PyExperimenter is a tool for the automatic execution of experiments, e.g. for machine learning (ML), capturing corresponding results …
  ☆38Updated last month
• slds-lmu / yahpo_gym
  Surrogate benchmarks for HPO problems
  ☆29Updated 5 months ago
• lektor-lol / lektor-lol.github.io
  a minimal website to get the diff of llm rewrites
  ☆11Updated 11 months ago
• Reiyan / pflacco
  Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems
  ☆26Updated last year
• tml-tuebingen / nshap
  Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.
  ☆18Updated 2 years ago
• automl / neps
  Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
  ☆77Updated this week
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆35Updated 2 months ago
• machinelearningnuremberg / DeepPipe
  [KDD 2023] Deep Pipeline Embeddings for AutoML
  ☆17Updated 4 months ago
• BrechtWts / SuffixTransformerNetwork
  ☆16Updated last year
• automl / DeepCAVE
  An interactive framework to visualize and analyze your AutoML process in real-time.
  ☆90Updated last week
• awslabs / fortuna
  A Library for Uncertainty Quantification.
  ☆920Updated 7 months ago
• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆156Updated 6 months ago
• deel-ai / deel-lip
  Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers
  ☆100Updated 8 months ago
• kulbachcedric / EvOAutoML
  ☆17Updated 2 years ago
• automl / CARP-S
  A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks.
  ☆17Updated last week
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆55Updated 10 months ago
• automl / DEHB
  ☆89Updated 6 months ago
• machinelearningnuremberg / HPO-B
  [NeurIPS DBT 2021] HPO-B
  ☆39Updated 2 weeks ago
• yromano / cqr
  Conformalized Quantile Regression
  ☆293Updated 3 years ago
• automl / LCBench
  A learning curve benchmark on OpenML data
  ☆31Updated 11 months ago
• atschalz / dc_tabeval
  A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
  ☆16Updated last year
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆136Updated 3 months ago
• automl-conf / LatexTemplate
  Latex Template for AutoML-Conf
  ☆16Updated 8 months ago
• automl / TransformersCanDoBayesianInference
  Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
  ☆239Updated last year
• machinelearningnuremberg / FSBO
  [ICLR 2021] Few Shot Bayesian Optimization
  ☆21Updated 3 years ago
• aai-institute / pyDVL
  pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
  ☆139Updated 2 months ago