HHalva / hmnlica
Code for Hidden Markov Nonlinear ICA
☆24Updated 3 years ago
Alternatives and similar repositories for hmnlica:
Users that are interested in hmnlica are comparing it to the libraries listed below
- Time-Contrastive Learning☆65Updated 6 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆86Updated 3 years ago
- Code for the paper 'Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA' @ Neurips'21☆18Updated 2 months ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated last year
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 2 years ago
- Differentiable computations for the signature-PDE-kernel on CPU and GPU.☆53Updated 10 months ago
- Sequential Neural Likelihood☆41Updated 5 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- VAEs and nonlinear ICA: a unifying framework☆34Updated 4 years ago
- PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]☆24Updated 4 years ago
- Code for "Generalised Interpretable Shapelets for Irregular Time Series"☆57Updated last year
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago
- ☆14Updated last year
- Pytorch implementation of RED-SDS (NeurIPS 2021).☆18Updated 3 years ago
- Contrastive Learning for Time Series☆38Updated 2 years ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆59Updated 8 months ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]☆57Updated 8 months ago
- ☆51Updated 8 months ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆65Updated 2 months ago
- ICML 2017. Kernel-based adaptive linear-time independence test.☆16Updated 3 years ago
- REGAIN (Regularised Graphical Inference)☆29Updated last year
- Random Matrix Theory library - RMT analysis and simulation in Python☆48Updated last year
- TIme series DiscoverY BENCHmark (tidybench)☆37Updated last year
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆27Updated last year
- Code for "Deep Signature Transforms" (NeurIPS 2019)☆93Updated 8 months ago
- A non-parametric Bayesian approach to Hidden Markov Models☆87Updated last year
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆58Updated 9 months ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆58Updated 4 years ago