Alternatives and similar repositories for neps:

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

• automl / ifBO
  In-context Bayesian Optimization
  ☆16Updated 3 months ago
• geoalgo / slurmpilot
  Launching and monitoring Slurm experiments in Python
  ☆17Updated 2 weeks ago
• automl / DeepCAVE
  An interactive framework to visualize and analyze your AutoML process in real-time.
  ☆87Updated this week
• tornede / py_experimenter
  The PyExperimenter is a tool for the automatic execution of experiments, e.g. for machine learning (ML), capturing corresponding results …
  ☆34Updated 2 months ago
• automl / DEHB
  ☆79Updated 8 months ago
• automl / LCBench
  A learning curve benchmark on OpenML data
  ☆30Updated 4 months ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆26Updated last year
• automl / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆78Updated 3 weeks ago
• slds-lmu / yahpo_gym
  Surrogate benchmarks for HPO problems
  ☆27Updated 2 months ago
• machinelearningnuremberg / FSBO
  [ICLR 2021] Few Shot Bayesian Optimization
  ☆19Updated 2 years ago
• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆146Updated last month
• automl / CARP-S
  A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks.
  ☆11Updated this week
• automl / lcpfn
  ☆16Updated 6 months ago
• microsoft / ticl
  Tabular In-Context Learning
  ☆55Updated last month
• machinelearningnuremberg / DyHPO
  [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
  ☆12Updated last year
• machinelearningnuremberg / DeepRankingEnsembles
  [ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization
  ☆14Updated last year
• machinelearningnuremberg / DeepPipe
  [KDD 2023] Deep Pipeline Embeddings for AutoML
  ☆16Updated 5 months ago
• automl / amltk
  A build-it-yourself AutoML Framework
  ☆71Updated 5 months ago
• automl / transfer-hpo-framework
  Code accompanying https://arxiv.org/abs/1802.02219
  ☆17Updated 2 years ago
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆37Updated last month
• machinelearningnuremberg / HPO-B
  [NeurIPS DBT 2021] HPO-B
  ☆29Updated 8 months ago
• linusericsson / einspace
  Official code for our NeurIPS 2024 paper "einspace: Searching for Neural Architectures from Fundamental Operations"
  ☆28Updated 5 months ago
• automl-conf / LatexTemplate
  Latex Template for AutoML-Conf
  ☆16Updated last month
• lektor-lol / lektor-lol.github.io
  a minimal website to get the diff of llm rewrites
  ☆11Updated 4 months ago
• layer6ai-labs / TabDPT
  TabDPT: Scaling Tabular Foundation Models
  ☆26Updated this week
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆85Updated 2 years ago
• SamsungLabs / BayesDLL
  ☆146Updated last year
• penfever / TuneTables
  TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.
  ☆18Updated 2 weeks ago
• naszilla / tabzilla
  ☆150Updated last year
• automl / HW-GPT-Bench
  HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
  ☆18Updated 4 months ago