Alternatives and similar repositories for DPL

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

• machinelearningnuremberg / DyHPO
  [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
  ☆13Updated 2 years ago
• machinelearningnuremberg / DeepPipe
  [KDD 2023] Deep Pipeline Embeddings for AutoML
  ☆17Updated 5 months ago
• machinelearningnuremberg / FSBO
  [ICLR 2021] Few Shot Bayesian Optimization
  ☆21Updated 3 years ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆35Updated 2 months ago
• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆157Updated 6 months ago
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆176Updated last year
• automl / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆122Updated 2 months ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆88Updated 2 years ago
• automl / LCBench
  A learning curve benchmark on OpenML data
  ☆32Updated last year
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆33Updated 2 years ago
• automl / neps
  Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
  ☆78Updated last week
• automl / DeepCAVE
  An interactive framework to visualize and analyze your AutoML process in real-time.
  ☆92Updated last week
• yromano / cqr
  Conformalized Quantile Regression
  ☆296Updated 3 years ago
• machinelearningnuremberg / DeepRankingEnsembles
  [ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization
  ☆15Updated last year
• microsoft / ticl
  Tabular In-Context Learning
  ☆99Updated 9 months ago
• automl / CARP-S
  A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks.
  ☆18Updated last week
• EtashGuha / R2CCP
  ☆22Updated last year
• automl / lcpfn
  ☆17Updated last year
• tennisonliu / GOGGLE
  ☆28Updated 2 years ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆105Updated 2 years ago
• automl / ifBO
  In-context Bayesian Optimization
  ☆16Updated 3 weeks ago
• penfever / TuneTables
  TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.
  ☆21Updated 8 months ago
• yandex-research / tabred
  (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆84Updated 6 months ago
• machinelearningnuremberg / HPO-B
  [NeurIPS DBT 2021] HPO-B
  ☆39Updated last month
• autogluon / tabarena
  A Living Benchmark for Machine Learning on Tabular Data
  ☆159Updated this week
• herilalaina / mosaic_ml
  AutoML with MCTS
  ☆18Updated 3 years ago
• automl / TFM-Playground
  A Playground for Tabular Foundation Models
  ☆41Updated last week
• automl / TransformersCanDoBayesianInference
  Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
  ☆240Updated last year
• manujosephv / GATE
  ☆18Updated 2 years ago
• msesia / chr
  Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems
  ☆23Updated 3 years ago