A framework for QuickTune
☆16Jan 9, 2025Updated last year
Alternatives and similar repositories for quicktunetool
Users that are interested in quicktunetool are comparing it to the libraries listed below
Sorting:
- [ICLR2024] Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How☆33Sep 7, 2025Updated 6 months ago
- [KDD 2023] Deep Pipeline Embeddings for AutoML☆17Jul 1, 2025Updated 8 months ago
- [NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benc…☆17Nov 12, 2023Updated 2 years ago
- [ICLR 2021] Few Shot Bayesian Optimization☆22Oct 17, 2022Updated 3 years ago
- ☆20Oct 15, 2024Updated last year
- In-context Bayesian Optimization☆17Feb 20, 2026Updated last month
- HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models☆22Dec 6, 2024Updated last year
- Multi-modal meta-learning for time series regression☆26Jun 3, 2024Updated last year
- A collection of model transferability estimation methods.☆32Oct 12, 2024Updated last year
- Tensorflow implementation of SoftTriple Loss: Deep Metric Learning Without Triplet Sampling☆10Sep 26, 2019Updated 6 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆14Nov 5, 2021Updated 4 years ago
- A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks.☆19Mar 16, 2026Updated last week
- [IJCAI'23] Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen …☆10Mar 9, 2024Updated 2 years ago
- [CVPR 2024] Efficient Hyperparameter Optimization with Adaptive Fidelity Identification☆11Jul 12, 2024Updated last year
- ☆13Aug 9, 2022Updated 3 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Sep 26, 2023Updated 2 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆89Feb 28, 2023Updated 3 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆82Oct 23, 2021Updated 4 years ago
- ☆16Dec 24, 2021Updated 4 years ago
- A highly efficient and modular implementation of Gaussian Processes in PyTorch☆16Jun 4, 2020Updated 5 years ago
- Reinforcement Learning papers on exploration methods.☆19Jun 27, 2021Updated 4 years ago
- ☆44Feb 4, 2026Updated last month
- An Android Application for GLCC☆11Sep 30, 2022Updated 3 years ago
- Code accompanying https://arxiv.org/abs/1802.02219☆19Oct 5, 2022Updated 3 years ago
- A learning curve benchmark on OpenML data☆34Nov 29, 2024Updated last year
- ☆59Dec 12, 2025Updated 3 months ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆36Jun 16, 2022Updated 3 years ago
- Resources and environment for unsupervised outlier model selection (UOMS)☆27Oct 21, 2022Updated 3 years ago
- Internal wave atlas for Northern Australia☆10Sep 17, 2025Updated 6 months ago
- Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.☆421Updated this week
- ☆33Sep 6, 2021Updated 4 years ago
- Implementation of Bitune: Bidirectional Instruction-Tuning☆27Jun 19, 2025Updated 9 months ago
- ☆17Dec 11, 2022Updated 3 years ago
- An interactive framework to visualize and analyze your AutoML process in real-time.☆94Mar 16, 2026Updated last week
- ☆32Jul 10, 2023Updated 2 years ago
- [ICLR 2025] Official implementation of "Towards Neural Scaling Laws for Time Series Foundation Models"☆22Oct 15, 2025Updated 5 months ago
- ☆48Jul 31, 2025Updated 7 months ago
- Implementation of the spotlight: a method for discovering systematic errors in deep learning models☆11Oct 5, 2021Updated 4 years ago
- Efficient Graph Convolutional Self-Representation for Band Selection of Hyperspectral Image☆15Apr 19, 2021Updated 4 years ago