automl / quicktunetoolLinks
A framework for QuickTune
☆16Updated 6 months ago
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☆33Updated 8 months ago
- ☆17Updated 9 months ago
- Official code for our NeurIPS 2024 paper "einspace: Searching for Neural Architectures from Fundamental Operations"☆28Updated 9 months ago
- Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"☆52Updated this week
- Surrogate benchmarks for HPO problems☆27Updated 2 months ago
- Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.☆77Updated this week
- In-context Bayesian Optimization☆16Updated 3 months ago
- Tabular In-Context Learning☆82Updated 5 months ago
- [ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization☆14Updated last year
- Our maintained PFN repository. Come here to train SOTA PFNs.☆97Updated this week
- Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning☆189Updated this week
- ☆14Updated 3 years ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆163Updated last year
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆86Updated 2 years ago
- [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations☆13Updated 2 years ago
- A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data☆17Updated 11 months ago
- HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models☆21Updated 8 months ago
- Simple (and cheap!) neural network uncertainty estimation☆68Updated 2 months ago
- A learning curve benchmark on OpenML data☆30Updated 8 months ago
- Launching and monitoring Slurm experiments in Python☆19Updated 3 weeks ago
- An interactive framework to visualize and analyze your AutoML process in real-time.☆89Updated this week
- TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.☆19Updated 4 months ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆244Updated 2 years ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆31Updated last year
- ☆86Updated 3 months ago
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆415Updated 3 weeks ago
- (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆77Updated 2 months ago
- Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…☆27Updated last year
- A Living Benchmark for Machine Learning on Tabular Data☆105Updated last week
- [KDD 2023] Deep Pipeline Embeddings for AutoML☆16Updated last month