# arsedler9/lfads-torch

<https://repo.masters-masters.com/en/repos/arsedler9/lfads-torch>

[Home](https://repo.masters-masters.com/en) › [arsedler9](https://repo.masters-masters.com/en/owners/arsedler9) › [lfads-torch](https://repo.masters-masters.com/en/repos/arsedler9/lfads-torch)

arsedler9/lfads-torch has 144 stars on GitHub. Its RepoMasters card: Prototype tier. A PyTorch implementation of Latent Factor Analysis via Dynamical Systems…

| Field | Value |
| --- | --- |
| Owner | [arsedler9](https://repo.masters-masters.com/en/owners/arsedler9) |
| Stars | 144 |
| Forks | 44 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2021 |
| Topics | deep-learning, neuroscience, hyperparameter-optimization, dynamical-systems, time-series, recurrent-neural-networks |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [arsedler9/lfads-torch](https://github.com/arsedler9/lfads-torch) |

## Repository

A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.