marineschimel / ilqr_vaeLinks
☆11Updated 2 years ago
Alternatives and similar repositories for ilqr_vae
Users that are interested in ilqr_vae are comparing it to the libraries listed below
Sorting:
- Inverse optimal control for continuous psychophysics☆27Updated 2 months ago
- ☆23Updated 2 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- Recurrent state-space models for decision making☆30Updated 2 years ago
- large scale variational Gaussian state-space models☆14Updated last month
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆101Updated last year
- Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics☆11Updated last year
- Gaussian Process Factor Analysis with Dynamical Structure☆17Updated 4 years ago
- Exercises and examples for the latent dynamics workshop☆19Updated 2 months ago
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆66Updated 3 weeks ago
- ☆13Updated 3 weeks ago
- A package to train neural networks to perform various motor tasks☆68Updated 2 weeks ago
- Recurrent Switching Linear Dynamical Systems☆112Updated 2 years ago
- Flexible modulation of sequence generation in the entorhinal-hippocampal system.☆13Updated 3 years ago
- Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"☆13Updated 4 years ago
- Predictive coding in Python☆68Updated last year
- The COntextual INference (COIN) model☆23Updated last year
- Implementation of fixed point analysis for Recurrent Neural Network.☆21Updated 5 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆68Updated 2 years ago
- ☆23Updated 4 years ago
- repository for grid cell network code☆65Updated 2 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆35Updated 7 years ago
- PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python☆76Updated 8 months ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆38Updated 2 years ago
- sequential learning in orthogonal subspaces☆13Updated 4 years ago
- Project repo for gpSLDS☆13Updated 8 months ago
- Python tools for participating in Neural Latents Benchmark '21☆63Updated last year
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆24Updated 5 months ago
- ☆41Updated 3 years ago
- Short-term plasticity RNN models in Tensorflow☆34Updated 5 years ago