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
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆176Updated last year
• machinelearningnuremberg / DeepPipe
  [KDD 2023] Deep Pipeline Embeddings for AutoML
  ☆17Updated 6 months ago
• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆159Updated 8 months ago
• SamuelGabriel / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆132Updated last week
• automl / LCBench
  A learning curve benchmark on OpenML data
  ☆32Updated last year
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆38Updated 4 months ago
• machinelearningnuremberg / FSBO
  [ICLR 2021] Few Shot Bayesian Optimization
  ☆22Updated 3 years ago
• microsoft / ticl
  Tabular In-Context Learning
  ☆104Updated 10 months ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆88Updated 2 years ago
• automl / neps
  Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
  ☆79Updated last week
• slds-lmu / yahpo_gym
  Surrogate benchmarks for HPO problems
  ☆30Updated 8 months ago
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆33Updated 3 years ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆105Updated 2 years ago
• automl / CARP-S
  A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks.
  ☆19Updated this week
• jparkerholder / PB2
  Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.
  ☆20Updated 4 years ago
• jjbrophy47 / tree_influence
  Influence Estimation for Gradient-Boosted Decision Trees
  ☆29Updated last year
• automl / lcpfn
  ☆19Updated last year
• automl / ifBO
  In-context Bayesian Optimization
  ☆16Updated 2 months ago
• autogluon / tabarena
  A Living Benchmark for Machine Learning on Tabular Data
  ☆179Updated this week
• yandex-research / tabred
  (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆86Updated 7 months ago
• penfever / TuneTables
  TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.
  ☆22Updated 9 months ago
• automl / TFM-Playground
  A Playground for Tabular Foundation Models
  ☆49Updated last week
• EtashGuha / R2CCP
  ☆22Updated last year
• yromano / cqr
  Conformalized Quantile Regression
  ☆301Updated 3 years ago
• automl / TransformersCanDoBayesianInference
  Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
  ☆251Updated last year
• google-research / optformer
  ☆238Updated last month
• tennisonliu / GOGGLE
  ☆27Updated 2 years ago
• herilalaina / mosaic_ml
  AutoML with MCTS
  ☆18Updated 3 years ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆71Updated 11 months ago