Alternatives and similar repositories for DeepPipe

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

• machinelearningnuremberg / FSBO
  [ICLR 2021] Few Shot Bayesian Optimization
  ☆20Updated 3 years ago
• machinelearningnuremberg / DeepRankingEnsembles
  [ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization
  ☆15Updated last year
• machinelearningnuremberg / HPO-B
  [NeurIPS DBT 2021] HPO-B
  ☆37Updated 3 months ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆34Updated last month
• slds-lmu / yahpo_gym
  Surrogate benchmarks for HPO problems
  ☆29Updated 5 months ago
• automl / LCBench
  A learning curve benchmark on OpenML data
  ☆31Updated 11 months ago
• automl / TransformersCanDoBayesianInference
  Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
  ☆237Updated last year
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆88Updated 2 years ago
• machinelearningnuremberg / DPL
  [NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benc…
  ☆16Updated last year
• automl / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆114Updated last month
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆169Updated last year
• automl / ifBO
  In-context Bayesian Optimization
  ☆17Updated 2 months ago
• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆155Updated 5 months ago
• yandex-research / tabred
  (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆83Updated 4 months ago
• tennisonliu / GOGGLE
  ☆27Updated 2 years ago
• automl / transfer-hpo-framework
  Code accompanying https://arxiv.org/abs/1802.02219
  ☆18Updated 3 years ago
• yromano / cqr
  Conformalized Quantile Regression
  ☆290Updated 3 years ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆46Updated 3 years ago
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆56Updated last year
• automl / neps
  Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
  ☆78Updated last week
• kulbachcedric / EvOAutoML
  ☆17Updated 2 years ago
• machinelearningnuremberg / DyHPO
  [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
  ☆13Updated 2 years ago
• LeoGrin / tabular-benchmark
  ☆492Updated last year
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆199Updated 8 months ago
• automl / lcpfn
  ☆17Updated last year
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆195Updated 2 years ago
• luxusg1 / metabu
  ☆14Updated 3 years ago
• microsoft / ticl
  Tabular In-Context Learning
  ☆93Updated 7 months ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆278Updated last week
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆68Updated 8 months ago