oizumi-lab / GWTuneLinks
☆20Updated 4 months ago
Alternatives and similar repositories for GWTune
Users that are interested in GWTune are comparing it to the libraries listed below
Sorting:
- Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018☆32Updated 5 years ago
- Gaussian Process Factor Analysis with Dynamical Structure☆16Updated 4 years ago
- ☆13Updated 2 years ago
- ☆25Updated 4 months ago
- ☆23Updated last year
- Poisson Identifiable VAE (pi-VAE)☆52Updated 3 years ago
- latent manifold tuning model / P-GPLVM☆12Updated 5 years ago
- ☆19Updated last year
- Neural Optimal Feedback Control☆11Updated 3 years ago
- Active inference implementation of dynamic multi-armed bandits☆19Updated last year
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆21Updated last year
- Flexible modulation of sequence generation in the entorhinal-hippocampal system.☆13Updated 3 years ago
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 5 years ago
- A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis an…☆24Updated 7 months ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- The COntextual INference (COIN) model☆22Updated 10 months ago
- ☆38Updated last year
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)☆20Updated 4 years ago
- Inverse optimal control for continuous psychophysics☆27Updated last week
- Demixed Shared Component Analysis☆13Updated 4 years ago
- Tikhonov regression in python☆32Updated last year
- Predictive coding in Python☆66Updated last year
- ☆16Updated 8 months ago
- ☆39Updated 2 years ago
- PyTorch Lightning utilities that make it easier to train and evaluate deep models for the Neural Latents Benchmark.☆8Updated 2 years ago
- General framework for Bayesian inversion of continuous hierarchical models☆10Updated 3 years ago
- Code for the paper: "Neuroimaging: Into the Multiverse"☆14Updated 3 years ago
- Everything needed to replicate the figures from the paper "Engineering recurrent neural networks from task-relevant manifolds and dynamic…☆12Updated 5 years ago
- Recurrent state-space models for decision making☆30Updated 2 years ago