machinelearningnuremberg / QuickTuneLinks
[ICLR2024] Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
☆33Updated 4 months ago
Alternatives and similar repositories for QuickTune
Users that are interested in QuickTune are comparing it to the libraries listed below
Sorting:
- A framework for QuickTune☆16Updated last year
- Tabular In-Context Learning☆106Updated 11 months ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆177Updated last year
- Official code for our NeurIPS 2024 paper "einspace: Searching for Neural Architectures from Fundamental Operations"☆30Updated 3 months ago
- (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆86Updated 8 months ago
- Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"☆71Updated last week
- Our maintained PFN repository. Come here to train SOTA PFNs.☆133Updated 2 weeks ago
- Research on Tabular Foundation Models☆69Updated last year
- Drift-Resilient TabPFN is a method using In-Context Learning via a Prior-Data Fitted Network, to address temporal distribution shifts in …☆26Updated 8 months ago
- ☆19Updated last year
- Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.☆79Updated this week
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆180Updated 3 months ago
- ☆238Updated 2 months ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆88Updated 2 years ago
- ☆23Updated 3 years ago
- TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.☆23Updated 10 months ago
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆177Updated last year
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆305Updated 2 months ago
- A repo for transfer learning with deep tabular models☆105Updated 2 years ago
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆443Updated 3 months ago
- A package for conformal prediction with conditional guarantees.☆67Updated 3 months ago
- Classification metrics and post-hoc calibration☆49Updated 3 weeks ago
- A Living Benchmark for Machine Learning on Tabular Data☆184Updated this week
- Context is Key: A Benchmark for Forecasting with Essential Textual Information☆86Updated 5 months ago
- A Playground for Tabular Foundation Models☆50Updated last week
- [ICLR 2025] TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation☆132Updated 8 months ago
- ☆50Updated last year
- Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""☆186Updated last year
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Official repository for the paper "Zero-Shot AutoML with Pretrained Models"☆48Updated 2 years ago