paulbrodersen / entropy_estimatorsLinks
Estimators for the entropy and other information theoretic quantities of continuous distributions
☆143Updated last year
Alternatives and similar repositories for entropy_estimators
Users that are interested in entropy_estimators are comparing it to the libraries listed below
Sorting:
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated 2 years ago
- Code for Hidden Markov Nonlinear ICA☆24Updated 3 years ago
- ☆25Updated last year
- Official code for the ICLR 2021 paper Neural ODE Processes☆74Updated 3 years ago
- ☆152Updated 2 years ago
- Non-parametric Entropy Estimation Toolbox☆412Updated 2 years ago
- Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting☆50Updated 8 months ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆226Updated 10 months ago
- Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Emb…☆239Updated 5 years ago
- Embed strange attractors using a regularizer for autoencoders☆133Updated 4 years ago
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆142Updated 2 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆47Updated 3 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 6 years ago
- Time-Contrastive Learning☆65Updated 7 years ago
- Mutual information estimators and benchmark☆51Updated 7 months ago
- Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model☆101Updated 10 months ago
- A non-parametric Bayesian approach to Hidden Markov Models☆87Updated 2 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆61Updated 4 years ago
- Python code of Hilbert-Schmidt Independence Criterion☆87Updated 3 years ago
- Implementation of the ICML 2024 paper "Discovering Mixtures of Structural Causal Models from Time Series Data"☆22Updated 2 months ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Example applications of path signatures☆40Updated 4 months ago
- Code for "Generalised Interpretable Shapelets for Irregular Time Series"☆56Updated 2 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆45Updated 4 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆223Updated last year
- Convolution dictionary learning for time-series☆132Updated 3 weeks ago
- Code for random Fourier features based on Rahimi and Recht's 2007 paper.☆57Updated 4 years ago
- Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn…☆211Updated last year
- ☆90Updated 3 years ago