Alternatives and similar repositories for quicktunetool

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

• automl / lcpfn
  ☆17Updated 7 months ago
• machinelearningnuremberg / QuickTune
  [ICLR2024] Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
  ☆32Updated 5 months ago
• machinelearningnuremberg / DyHPO
  [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
  ☆13Updated 2 years ago
• machinelearningnuremberg / DeepRankingEnsembles
  [ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization
  ☆14Updated last year
• geoalgo / slurmpilot
  Launching and monitoring Slurm experiments in Python
  ☆18Updated last month
• automl / ifBO
  In-context Bayesian Optimization
  ☆16Updated 2 weeks ago
• machinelearningnuremberg / FSBO
  [ICLR 2021] Few Shot Bayesian Optimization
  ☆19Updated 2 years ago
• slds-lmu / yahpo_gym
  Surrogate benchmarks for HPO problems
  ☆27Updated 3 months ago
• automl / HW-GPT-Bench
  HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
  ☆19Updated 5 months ago
• automl / LCBench
  A learning curve benchmark on OpenML data
  ☆30Updated 5 months ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆26Updated last year
• linusericsson / einspace
  Official code for our NeurIPS 2024 paper "einspace: Searching for Neural Architectures from Fundamental Operations"
  ☆28Updated 6 months ago
• automl / CARP-S
  A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks.
  ☆14Updated this week
• 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
• machinelearningnuremberg / DeepPipe
  [KDD 2023] Deep Pipeline Embeddings for AutoML
  ☆16Updated 6 months ago
• automl / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆82Updated last week
• automl / zero-shot-automl-with-pretrained-models
  Official repository for the paper "Zero-Shot AutoML with Pretrained Models"
  ☆47Updated last year
• machinelearningnuremberg / HPO-B
  [NeurIPS DBT 2021] HPO-B
  ☆30Updated 3 weeks ago
• automl / neps
  Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
  ☆75Updated this week
• layer6ai-labs / TabDPT
  TabDPT: Scaling Tabular Foundation Models
  ☆27Updated 3 weeks ago
• automl / jahs_bench_201
  The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.
  ☆15Updated 2 years ago
• automl / DEHB
  ☆79Updated 3 weeks ago
• luxusg1 / metabu
  ☆14Updated 2 years ago
• naszilla / tabzilla
  ☆155Updated last year
• microsoft / ticl
  Tabular In-Context Learning
  ☆62Updated 2 months ago
• automl / transfer-hpo-framework
  Code accompanying https://arxiv.org/abs/1802.02219
  ☆18Updated 2 years ago
• automl / DeepCAVE
  An interactive framework to visualize and analyze your AutoML process in real-time.
  ☆87Updated last week
• lektor-lol / lektor-lol.github.io
  a minimal website to get the diff of llm rewrites
  ☆11Updated 5 months ago
• kulbachcedric / EvOAutoML
  ☆17Updated 2 years ago
• aangelopoulos / conformal_classification
  Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…
  ☆241Updated 2 years ago