☆24Sep 10, 2023Updated 2 years ago
Alternatives and similar repositories for mgplvm-pytorch
Users that are interested in mgplvm-pytorch are comparing it to the libraries listed below
Sorting:
- ☆12Jan 11, 2023Updated 3 years ago
- Project repo for gpSLDS☆17Jan 12, 2026Updated last month
- Reference implementation of Thin and Deep Gaussian Processes (NeurIPS 2023)☆14Nov 25, 2024Updated last year
- Implicit Differentiable Optimal Control (IDOC) with JAX☆12May 11, 2022Updated 3 years ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆26Oct 28, 2021Updated 4 years ago
- code for BINOCULARS and Multi-Step BO☆12Dec 7, 2020Updated 5 years ago
- ☆84Feb 25, 2022Updated 4 years ago
- Estimating Noise Correlations in Neural Populations with Wishart Processes☆11May 14, 2024Updated last year
- hdnet - Hopfield denoising network☆14Oct 6, 2022Updated 3 years ago
- Demixed Shared Component Analysis☆13Oct 22, 2020Updated 5 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Jul 4, 2024Updated last year
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆15Apr 6, 2025Updated 11 months ago
- Network plotting python package☆12Nov 17, 2021Updated 4 years ago
- ☆18Mar 27, 2021Updated 4 years ago
- ☆18Jan 27, 2026Updated last month
- Fast cluster-based permutation test for densely-sampled, multi-level time series data (ex: eyetracking, EEG)☆14Mar 10, 2025Updated 11 months ago
- Unifying probabilistic models for time-frequency analysis. Spectral Mixture Gaussian processes in state space form.☆19May 30, 2019Updated 6 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆45Jul 30, 2024Updated last year
- Gaussian process time-frequency analysis toy examples☆17Apr 5, 2019Updated 6 years ago
- an Open Collaborative project to explore the implications — theoretical or practical — of the PDE perspective of ConvNets☆21Oct 7, 2023Updated 2 years ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆18Mar 19, 2025Updated 11 months ago
- ☆78Jun 21, 2022Updated 3 years ago
- Jupyter Notebooks of Leonard Susskind's Statistical Mechanics lectures☆17Oct 31, 2018Updated 7 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Sep 26, 2023Updated 2 years ago
- Gaussian Process Factor Analysis with Dynamical Structure☆17Nov 3, 2020Updated 5 years ago
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Jul 26, 2021Updated 4 years ago
- Implementation of grid cells in Python and Javascript☆23Jan 13, 2022Updated 4 years ago
- ☆25Jan 30, 2026Updated last month
- A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis an…☆25Oct 28, 2024Updated last year
- ☆22Apr 13, 2024Updated last year
- An implementation of piecewise linear time warping for multi-dimensional time series alignment☆188Aug 15, 2024Updated last year
- Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data☆99Jul 18, 2022Updated 3 years ago
- Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.☆21May 15, 2018Updated 7 years ago
- ☆36Nov 11, 2025Updated 3 months ago
- Recurrent state-space models for decision making☆30Oct 25, 2022Updated 3 years ago
- ☆29Oct 22, 2025Updated 4 months ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆241Dec 22, 2023Updated 2 years ago
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆30Updated this week
- PyTorch-based library for various kinds of representational-similarity analysis☆24Jun 7, 2024Updated last year