automl / quicktunetoolLinks
A framework for QuickTune
☆16Updated 7 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 9 months ago
- ☆17Updated 10 months ago
- Official code for our NeurIPS 2024 paper "einspace: Searching for Neural Architectures from Fundamental Operations"☆28Updated 10 months ago
- Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.☆77Updated this week
- Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning☆194Updated this week
- A learning curve benchmark on OpenML data☆30Updated 8 months ago
- Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"☆55Updated last week
- Our maintained PFN repository. Come here to train SOTA PFNs.☆102Updated 2 weeks ago
- In-context Bayesian Optimization☆16Updated 2 weeks ago
- Surrogate benchmarks for HPO problems☆27Updated 3 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
- [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations☆13Updated 2 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆86Updated 2 years ago
- HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models☆21Updated 8 months ago
- Tabular In-Context Learning☆86Updated 5 months ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆163Updated last year
- ☆23Updated 2 years ago
- Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.☆59Updated last month
- [NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benc…☆16Updated last year
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆143Updated 2 years ago
- ☆14Updated 3 years ago
- Open-source framework for uncertainty and deep learning models in PyTorch☆421Updated last week
- [ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization☆15Updated last year
- TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.☆21Updated 4 months ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆32Updated last year
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆150Updated 2 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆104Updated last year
- ☆17Updated 2 weeks ago
- Simple (and cheap!) neural network uncertainty estimation☆69Updated 3 months ago
- Welcome to Uncertainty Metrics! The goal of this library is to provide an easy-to-use interface for both measuring uncertainty across Goo…☆24Updated 4 years ago