fmohr / lcdb
☆10Updated this week
Related projects: ⓘ
- Surrogate benchmarks for HPO problems☆26Updated last month
- ☆69Updated last month
- In-context Bayesian Optimization☆10Updated this week
- Our maintained PFN repository. Come here to train SOTA PFNs.☆43Updated 3 months ago
- A learning curve benchmark on OpenML data☆29Updated 3 years ago
- ☆14Updated 2 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆75Updated last year
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆22Updated 6 months ago
- Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.☆52Updated this week
- [NeurIPS DBT 2021] HPO-B☆27Updated last month
- ☆109Updated 5 months ago
- Parameter-Free Optimizers for Pytorch☆105Updated 4 months ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆183Updated 10 months ago
- Materials of the Nordic Probabilistic AI School 2023.☆86Updated 11 months ago
- Pre-trained Gaussian processes for Bayesian optimization☆78Updated 2 weeks ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆72Updated 6 months ago
- An interactive framework to visualize and analyze your AutoML process in real-time.☆69Updated 2 weeks ago
- The PyExperimenter is a tool for the automatic execution of experiments, e.g. for machine learning (ML), capturing corresponding results …☆31Updated 3 months ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆98Updated this week
- [ICLR2024] Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How☆25Updated 3 months ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆194Updated last month
- Training and evaluating NBM and SPAM for interpretable machine learning.☆76Updated last year
- ☆99Updated last month
- Repository for CARTE: Context-Aware Representation of Table Entries☆46Updated this week
- Dataset repository for the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan L. Gamella, Jo…☆20Updated this week
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆223Updated last year
- 👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)☆27Updated 2 years ago
- [ICLR 2021] Few Shot Bayesian Optimization☆15Updated last year
- ☆144Updated 2 years ago
- ☆10Updated 3 weeks ago