automl / lcpfnLinks
☆17Updated 9 months ago
Alternatives and similar repositories for lcpfn
Users that are interested in lcpfn are comparing it to the libraries listed below
Sorting:
- A learning curve benchmark on OpenML data☆30Updated 7 months ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆86Updated 2 years ago
- Our maintained PFN repository. Come here to train SOTA PFNs.☆94Updated this week
- Surrogate benchmarks for HPO problems☆27Updated last month
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- In-context Bayesian Optimization☆16Updated 2 months ago
- Introducing diverse tasks for NAS☆50Updated 2 years ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆30Updated last year
- The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.☆15Updated 2 years ago
- Collection of hyperparameter optimization benchmark problems☆149Updated last month
- 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
- [ICLR2024] Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How☆32Updated 7 months ago
- [ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization☆14Updated last year
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆47Updated 2 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆150Updated 2 years ago
- A benchmark for distribution shift in tabular data☆54Updated last year
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆43Updated 7 months ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆221Updated 8 months ago
- TabDPT: Scaling Tabular Foundation Models on Real Data☆33Updated this week
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆67Updated 7 months ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated last year
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆162Updated last year
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆242Updated 2 years ago
- ☆61Updated 4 years ago
- (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆77Updated last month
- [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations☆13Updated 2 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 4 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year
- Reusable BatchBALD implementation☆79Updated last year
- An amortized approach for calculating local Shapley value explanations☆99Updated last year