moldyn / NorMILinks
Generalized Kraskov Estimator for Normalized Mutual Information
☆21Updated 3 weeks ago
Alternatives and similar repositories for NorMI
Users that are interested in NorMI are comparing it to the libraries listed below
Sorting:
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
 - Large-scale uncertainty benchmark in deep learning.☆64Updated 5 months ago
 - Mutual information estimators and benchmark☆54Updated last month
 - Simple (and cheap!) neural network uncertainty estimation☆76Updated 3 weeks ago
 - Data Augmentation with Variational Autoencoders (TPAMI)☆143Updated 3 years ago
 - Algorithms for computations on random manifolds made easier☆94Updated last year
 - Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆237Updated last year
 - Maximum Mean Discrepancy (MMD), Kernel Stein Discrepancy (KSD), and Fisher Divergence☆17Updated last month
 - Benchmark time series data sets for PyTorch☆36Updated last year
 - ☆17Updated last year
 - Agustinus' very opiniated publication-ready plotting library☆69Updated 5 months ago
 - This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
 - Materials of the Nordic Probabilistic AI School 2022.☆179Updated 3 years ago
 - GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆86Updated 2 years ago
 - Our maintained PFN repository. Come here to train SOTA PFNs.☆117Updated last month
 - Parameter-Free Optimizers for Pytorch☆131Updated last year
 - Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 4 months ago
 - Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.☆21Updated last year
 - Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆136Updated last year
 - A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
 - A topological machine learning framework based on PyTorch☆192Updated 2 weeks ago
 - TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆81Updated last year
 - A general-purpose, deep learning-first library for constrained optimization in PyTorch☆145Updated 4 months ago
 - Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆71Updated 2 years ago
 - Estimators for the entropy and other information theoretic quantities of continuous distributions☆145Updated last year
 - An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆136Updated last year
 - A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆433Updated this week
 - Code repository for Trajectory Flow Matching☆88Updated last year
 - Deep Learning, an Energy Approach☆218Updated 4 months ago
 - [NeurIPS 2023 AI4Science] "A Transformer Model for Symbolic Regression towards Scientific Discovery"☆18Updated last year