machinelearningnuremberg / QuickTuneLinks
[ICLR2024] Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
☆33Updated 2 months ago
Alternatives and similar repositories for QuickTune
Users that are interested in QuickTune are comparing it to the libraries listed below
Sorting:
- Official code for our NeurIPS 2024 paper "einspace: Searching for Neural Architectures from Fundamental Operations"☆30Updated last month
- A framework for QuickTune☆16Updated 10 months ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆173Updated last year
- Our maintained PFN repository. Come here to train SOTA PFNs.☆121Updated 2 months ago
- (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆83Updated 6 months ago
- Tabular In-Context Learning☆94Updated 9 months ago
- ☆17Updated last year
- Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"☆62Updated last month
- Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.☆78Updated last week
- Uncertainty-aware representation learning (URL) benchmark☆105Updated 8 months ago
- [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations☆13Updated 2 years ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆174Updated last month
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆72Updated 2 years ago
- ☆23Updated 2 years ago
- Official repository for the paper "Zero-Shot AutoML with Pretrained Models"☆48Updated last year
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆88Updated 2 years ago
- Classification metrics and post-hoc calibration☆45Updated 2 weeks ago
- (ICML 2023) Feature learning in deep classifiers through Intermediate Neural Collapse: Accompanying code☆15Updated 2 years ago
- A toolkit for quantitative evaluation of data attribution methods.☆54Updated 4 months ago
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆234Updated last week
- TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.☆21Updated 8 months ago
- [ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization☆15Updated last year
- ☆110Updated 3 years ago
- Recycling diverse models☆46Updated 2 years ago
- Research on Tabular Foundation Models☆61Updated 11 months ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated last year
- ☆50Updated last year
- Drift-Resilient TabPFN is a method using In-Context Learning via a Prior-Data Fitted Network, to address temporal distribution shifts in …☆22Updated 6 months ago
- ☆231Updated this week
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆436Updated last month