392781 / scikit-ntkLinks
Neural Tangent Kernel (NTK) module for the scikit-learn library
☆25Updated last year
Alternatives and similar repositories for scikit-ntk
Users that are interested in scikit-ntk are comparing it to the libraries listed below
Sorting:
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆60Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 7 months ago
- ☆60Updated 8 months ago
- Jax SSM Library☆48Updated 3 years ago
- Neat Bayesian machine learning examples☆58Updated 3 weeks ago
- ☆155Updated 3 years ago
- Scalable Convex Neural Networks☆24Updated 7 months ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆72Updated 2 years ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆22Updated last year
- ☆15Updated 3 years ago
- A package for conformal prediction with conditional guarantees.☆67Updated 2 months ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆33Updated 2 years ago
- Bayesian inference with Python and Jax.☆34Updated 3 years ago
- Mutual information estimators and benchmark☆55Updated 3 months ago
- Utilities for probabilistic ML☆36Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated 6 months ago
- Dynamic causal Bayesian optimisation☆40Updated 2 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆69Updated 10 months ago
- Cross-prediction-powered inference☆15Updated last year
- symbolic regression☆40Updated 3 years ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆132Updated last year
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Loopy belief propagation for factor graphs on discrete variables in JAX☆163Updated last year
- Public dataset repository for the Causal Chamber Project☆54Updated last month
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆47Updated 5 years ago