AndrewUlmer / MABe_2022_TVAELinks
Trajectory Variational Autoencoder baseline for Multi-Agent Behavior challenge 2022
☆18Updated 3 years ago
Alternatives and similar repositories for MABe_2022_TVAE
Users that are interested in MABe_2022_TVAE are comparing it to the libraries listed below
Sorting:
- Official Implementation of "Learning Disentangled Behavior Embeddings"☆14Updated 3 years ago
- DeepGraphPose☆32Updated 2 years ago
- Toolbox for analyzing behavioral videos and neural activity☆59Updated last year
- Fitting low-rank RNNs to neural trajectories (LINT method).☆17Updated 3 months ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆35Updated 7 years ago
- Recurrent Switching Linear Dynamical Systems☆111Updated 2 years ago
- Some methods for comparing network representations in deep learning and neuroscience.☆138Updated 10 months ago
- Schemata and libraries for neuroscientific data☆26Updated 8 months ago
- Modified Python 3.0 implementation of MotionMapper (https://github.com/gordonberman/MotionMapper)☆29Updated last week
- Poisson Identifiable VAE (pi-VAE)☆52Updated 3 years ago
- Python tools for participating in Neural Latents Benchmark '21☆61Updated 11 months ago
- Machine Learning Utils of Sinzlab☆29Updated 4 months ago
- ☆16Updated 5 years ago
- Flexible modulation of sequence generation in the entorhinal-hippocampal system.☆13Updated 3 years ago
- The standardised environment for the hippocampus and entorhinal cortex models☆71Updated last week
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆38Updated 2 years ago
- NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis☆12Updated 2 months ago
- ☆23Updated last year
- Code for Inception Loop 2019 Paper☆14Updated 5 years ago
- Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife☆41Updated 3 years ago
- A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆101Updated 4 months ago
- Code base for the SENSORIUM competition.☆62Updated 10 months ago
- ☆23Updated 3 years ago
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆28Updated 4 months ago
- The COntextual INference (COIN) model☆22Updated 10 months ago
- ☆77Updated 3 years ago
- A package to train neural networks to perform various motor tasks☆67Updated last month
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- ☆13Updated 3 years ago
- ☆20Updated 3 years ago