zhd96 / pi-vaeLinks
Poisson Identifiable VAE (pi-VAE)
☆52Updated 4 years ago
Alternatives and similar repositories for pi-vae
Users that are interested in pi-vae are comparing it to the libraries listed below
Sorting:
- Fitting low-rank RNNs to neural trajectories (LINT method).☆18Updated 6 months ago
- ☆81Updated 3 years ago
- A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆114Updated 8 months ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆22Updated 2 years ago
- Some methods for comparing network representations in deep learning and neuroscience.☆140Updated last year
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆87Updated 2 months ago
- Python tools for participating in Neural Latents Benchmark '21☆63Updated last year
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- Official Implementation of POYO-1 https://poyo-brain.github.io/☆70Updated 3 weeks ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆39Updated last year
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆35Updated 7 years ago
- PyTorch implementation of "Seeing the forest and the tree: Building representations of both individual and collective dynamics with trans…☆14Updated 2 years ago
- ☆50Updated 4 years ago
- Gaussian Process Factor Analysis with Dynamical Structure☆17Updated 4 years ago
- PyTorch implementation of Swap-VAE: A self-supervised approach for generating neural activity☆13Updated 3 years ago
- ☆74Updated 3 years ago
- ☆31Updated last year
- Code for Galgali et al, 2023☆13Updated 2 years ago
- ☆30Updated 3 years ago
- Towards large neural data models.☆30Updated 3 months ago
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆16Updated 6 months ago
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆66Updated last month
- ☆24Updated 2 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆101Updated last year
- Recurrent Switching Linear Dynamical Systems☆112Updated 2 years ago
- Meta-learning local synaptic plasticity for continual familiarity detection☆16Updated 2 years ago
- ☆21Updated last year
- Figures, tables and stats for Schneider, Lee and Mathis 2022: Learnable latent embeddings for joint behavioral and neural analysis.☆20Updated 2 years ago
- ☆20Updated 3 years ago
- ☆28Updated 7 months ago