Alternatives and similar repositories for echoes

Users that are interested in echoes are comparing it to the libraries listed below

• reservoirpy / awesome-reservoir-computing
  Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).
  ☆54Updated 3 years ago
• jaxleyverse / jaxley
  Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.
  ☆114Updated this week
• ComputationalPsychiatry / pyhgf
  PyHGF: A neural network library for predictive coding
  ☆96Updated last week
• tachukao / mgplvm-pytorch
  ☆23Updated 2 years ago
• comob-project / snn-sound-localization
  Training spiking neural networks for sound localization
  ☆66Updated 3 months ago
• mattgolub / fixed-point-finder
  FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
  ☆101Updated last year
• fabridamicelli / kuramoto
  Python implementation of the Kuramoto model
  ☆155Updated last year
• catniplab / latent_dynamics_workshop
  Exercises and examples for the latent dynamics workshop
  ☆19Updated 2 months ago
• vruetten / GPFADS
  Gaussian Process Factor Analysis with Dynamical Structure
  ☆17Updated 4 years ago
• yu-takagi / dSCA
  Demixed Shared Component Analysis
  ☆13Updated 4 years ago
• namboodirilab / ANCCR
  ☆13Updated 3 weeks ago
• PlasmaControl / PyRCN
  A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.
  ☆92Updated last year
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆13Updated 2 years ago
• acerbilab / pybads
  PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
  ☆76Updated 8 months ago
• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆66Updated last month
• AlGoulas / bio2art
  Convert biological neuronal networks to artificial recurrent neuronal networks
  ☆21Updated 3 years ago
• tripdancer0916 / pytorch-fixed-point-analysis
  Implementation of fixed point analysis for Recurrent Neural Network.
  ☆21Updated 5 years ago
• RothkopfLab / lqg
  Inverse optimal control for continuous psychophysics
  ☆27Updated 2 months ago
• pyrates-neuroscience / PyRates
  Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…
  ☆83Updated last month
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆61Updated last year
• catniplab / xfads
  large scale variational Gaussian state-space models
  ☆14Updated last month
• ITNG / ModelingNeuralDynamics
  An Introduction to Modeling Neuronal Dynamics - Borgers in python, Single Neuron Models, Mathematical Modeling, Computational Neuroscienc…
  ☆46Updated 8 months ago
• Poirazi-Lab / dendrify
  Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.
  ☆43Updated 7 months ago
• marineschimel / ilqr_vae
  ☆11Updated 2 years ago
• mackelab / neural_timeseries_diffusion
  This repository contains research code for the paper "Generating realistic neurophysiological time series with denoising diffusion probab…
  ☆79Updated 4 months ago
• infer-actively / pypc
  Predictive coding in Python
  ☆68Updated last year
• acerbilab / pyvbmc
  PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
  ☆121Updated 7 months ago
• lyprince / lfads_demo
  Pytorch implementation of LFADS for demo at CAN workshop
  ☆19Updated 5 years ago
• caglarcakan / stimulus_neural_populations
  A framework for simulating mean-field neural mass models of spiking neurons, comparing them to large network simulations, and predicting …
  ☆19Updated 5 years ago
• roxana-zeraati / abcTau
  a Python package for unbiased estimation of timescales and hypothesis testing
  ☆27Updated 4 months ago