aai-institute / kyleLinks
A library for calibrating classifiers and computing calibration metrics
☆14Updated 3 years ago
Alternatives and similar repositories for kyle
Users that are interested in kyle are comparing it to the libraries listed below
Sorting:
- DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule☆63Updated 2 years ago
- SDLG is an efficient method to accurately estimate aleatoric semantic uncertainty in LLMs☆27Updated last year
- Code for minimum-entropy coupling.☆32Updated 2 weeks ago
- ☆60Updated 3 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- A Python package for intrinsic dimension estimation☆94Updated 2 months ago
- ☆110Updated 3 years ago
- Framework-agnostic library for checking array/tensor shapes at runtime.☆46Updated 4 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- AutoML Two-Sample Test☆19Updated 3 years ago
- Vectorizers for a range of different data types☆103Updated 2 months ago
- Composable kernels for scikit-learn implemented in JAX.☆45Updated 5 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆87Updated last year
- Data Twinning☆25Updated 2 years ago
- ☆35Updated last year
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆92Updated last year
- A Python package for generating concise, high-quality summaries of a probability distribution☆55Updated last month
- Exca - Execution and caching tool for python☆110Updated last week
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆31Updated 4 years ago
- Library that contains implementations of machine learning components in the hyperbolic space☆143Updated last year
- ☆248Updated 5 months ago
- ☆63Updated last year
- BenchBench is a Python package to evaluate multi-task benchmarks.☆17Updated 2 months ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆72Updated 2 years ago
- Amos optimizer with JEstimator lib.☆82Updated last year
- Implementations of growing and pruning in neural networks☆22Updated 2 years ago
- Hierarchical Associative Memory User Experience☆105Updated last month
- Hyperbolic PCA via Horospherical Projections☆74Updated 2 years ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated 2 years ago