Alternatives and similar repositories for LCBench

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

• automl / lcpfn
  ☆17Updated last year
• slds-lmu / yahpo_gym
  Surrogate benchmarks for HPO problems
  ☆29Updated 7 months ago
• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆157Updated 7 months ago
• machinelearningnuremberg / DyHPO
  [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
  ☆13Updated 2 years ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆37Updated 3 months ago
• automl / DEHB
  ☆90Updated 8 months ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆88Updated 2 years ago
• jparkerholder / PB2
  Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.
  ☆20Updated 4 years ago
• automl / transfer-hpo-framework
  Code accompanying https://arxiv.org/abs/1802.02219
  ☆18Updated 3 years ago
• automl / DeepCAVE
  An interactive framework to visualize and analyze your AutoML process in real-time.
  ☆93Updated 3 weeks ago
• zi-w / Ensemble-Bayesian-Optimization
  Code repository for Ensemble Bayesian Optimization
  ☆55Updated 6 years ago
• automl / zero-shot-automl-with-pretrained-models
  Official repository for the paper "Zero-Shot AutoML with Pretrained Models"
  ☆48Updated 2 years ago
• automl / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆124Updated 3 months ago
• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆67Updated 5 years ago
• machinelearningnuremberg / HPO-B
  [NeurIPS DBT 2021] HPO-B
  ☆41Updated last month
• automl / jahs_bench_201
  The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.
  ☆15Updated 2 years ago
• mirkobunse / critdd
  Critical difference diagrams with Python and Tikz
  ☆36Updated last year
• xuyxu / Soft-Decision-Tree
  PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.
  ☆105Updated last year
• automl / TransformersCanDoBayesianInference
  Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
  ☆244Updated last year
• machinelearningnuremberg / FSBO
  [ICLR 2021] Few Shot Bayesian Optimization
  ☆22Updated 3 years ago
• yoichii / nashpobench2api
  ☆13Updated 4 years ago
• automl / pybnn
  Bayesian neural network package
  ☆154Updated 4 years ago
• uber / bayesmark
  Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
  ☆157Updated 4 years ago
• rtu715 / NAS-Bench-360
  Introducing diverse tasks for NAS
  ☆50Updated 3 years ago
• yromano / cqr
  Conformalized Quantile Regression
  ☆297Updated 3 years ago
• luxusg1 / metabu
  ☆14Updated 3 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆77Updated last year
• ratschlab / bnn_priors
  Code for the paper "Bayesian Neural Network Priors Revisited"
  ☆58Updated 4 years ago
• automl / neps
  Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
  ☆78Updated last week
• geoalgo / slurmpilot
  Launching and monitoring Slurm experiments in Python
  ☆21Updated 4 months ago