A learning curve benchmark on OpenML data
☆35Nov 29, 2024Updated last year
Alternatives and similar repositories for LCBench
Users that are interested in LCBench are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Surrogate benchmarks for HPO problems☆34May 26, 2025Updated last year
- [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations☆14Apr 25, 2023Updated 3 years ago
- ☆99Aug 23, 2019Updated 6 years ago
- [NeurIPS DBT 2021] HPO-B☆42Nov 8, 2025Updated 8 months ago
- Optimizing Hyperparameters with Conformal Quantile Regression☆11May 22, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆13Nov 6, 2021Updated 4 years ago
- Benchmark library for high-dimensional HPO of black-box models based on Weighted Lasso regression☆15Feb 15, 2026Updated 5 months ago
- AutoML with MCTS☆18May 4, 2022Updated 4 years ago
- Collection of hyperparameter optimization benchmark problems☆169May 21, 2025Updated last year
- [deprecated] Configuration Assessment, Visualization and Evaluation☆46Jan 6, 2026Updated 6 months ago
- ☆21Jan 13, 2022Updated 4 years ago
- The Mighty cRL library you've been looking for!☆60Updated this week
- predicting learning curves in python☆44May 8, 2017Updated 9 years ago
- The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.☆15Mar 22, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Alpha model skeletons & examples☆12Nov 8, 2023Updated 2 years ago
- Sources for algorithm selection for combinatorial search problems survey☆17Jul 10, 2019Updated 7 years ago
- Launching and monitoring Slurm experiments in Python☆33Jun 29, 2026Updated 3 weeks ago
- ☆28Jun 7, 2024Updated 2 years ago
- [ICLR2024] Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How☆33Sep 7, 2025Updated 10 months ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆68Jun 17, 2020Updated 6 years ago
- a curated list of bayesian optimization tutorials, papers, softwares☆33Jun 5, 2021Updated 5 years ago
- ☆11Jun 23, 2026Updated 3 weeks ago
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,235Updated this week
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆47Sep 18, 2025Updated 10 months ago
- Open Source Probabilistic Networks Library from Intel☆11Apr 13, 2017Updated 9 years ago
- Efficient Hyper-parameter Tuning at Scale (VLDB'22)☆10Dec 1, 2021Updated 4 years ago
- A framework for QuickTune☆16Jan 9, 2025Updated last year
- An interactive framework to visualize and analyze your AutoML process in real-time.☆101Mar 31, 2026Updated 3 months ago
- 基于MFCC特征构建单核GMM的0-9独立词语音识别，MFCC，GMM，sklearn，Isolated word recognition。☆10Nov 18, 2020Updated 5 years ago
- ☆22May 12, 2026Updated 2 months ago
- [ACL 2021] Learning to Perturb Word Embeddings for Out-of-distribution QA☆16May 11, 2022Updated 4 years ago
- [CVPR 2024] Efficient Hyperparameter Optimization with Adaptive Fidelity Identification☆12Jul 12, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A benchmark suite for Scalable Diverse Model Selection for Accessible Transfer Learning from our NeurIPS 2021 paper.☆15Dec 14, 2022Updated 3 years ago
- Pytorch implementation of “MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures” (NeurIPS 2020 spotlight)☆13Jul 22, 2021Updated 4 years ago
- Automatic script to parse bibtex to mardown to create manageable bibliography github repository. We take the example of continual learnin…☆11Nov 1, 2020Updated 5 years ago
- An Introduction to Optimization Algorithms☆13Dec 26, 2020Updated 5 years ago
- SNE Simulation Dataset Functions☆12Updated this week
- A Library of Variational Dropouts☆15Jul 29, 2019Updated 6 years ago
- Tabular In-Context Learning☆117Mar 6, 2025Updated last year