tcstewar / pytryLinks
Library for running trials with parameter variation
☆13Updated 7 years ago
Alternatives and similar repositories for pytry
Users that are interested in pytry are comparing it to the libraries listed below
Sorting:
- Learning to Learn: Gradient-free Optimization framework☆36Updated 4 years ago
- Course notes for SYDE 556: Simulating Neurobiological Systems☆14Updated 10 years ago
- Brian 2 frontend to the GeNN simulator☆48Updated last month
- PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym☆39Updated last year
- ANNarchy (Artificial Neural Networks architect) is a parallel simulator for rate-coded and spiking neural networks.☆43Updated this week
- Deep learning integration for Nengo☆92Updated 10 months ago
- Polished code for "Can a single neuron solve MNIST? The computational power of biological dendritic trees”☆48Updated 5 years ago
- Auryn: A fast simulator for spiking neural networks with synaptic plasticity☆106Updated 10 months ago
- A brian2 extension to simulate spiking neural networks on GPUs☆66Updated last week
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Updated 7 years ago
- Learning to Learn: Gradient-free Optimization framework☆14Updated 3 months ago
- ☆24Updated 2 years ago
- Instructive examples using projects in the Nengo ecosystem☆23Updated 2 years ago
- A domain specific language for neuron and synapse models in spiking neural network simulation☆66Updated last week
- ☆41Updated 2 years ago
- Preconditioned ICA for Real Data☆117Updated last month
- Fit an Ising model with neural spike train data using Minimum Probability Flow Learning. Based on code from Jascha Sohl-Dickstein.☆18Updated 8 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 4 years ago
- A Python package for simulator-independent specification of neuronal network models.☆299Updated 4 months ago
- Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.☆15Updated 7 years ago
- hdnet - Hopfield denoising network☆14Updated 3 years ago
- Dimensionality reduction of spikes trains☆49Updated 4 years ago
- Implementation of fixed point analysis for Recurrent Neural Network.☆23Updated 6 years ago
- A framework for simulating mean-field neural mass models of spiking neurons, comparing them to large network simulations, and predicting …☆19Updated 5 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆104Updated last year
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆30Updated last year
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆62Updated last year
- Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.☆43Updated 2 weeks ago
- Python package to train, deploy, and communicate with TrueNorth☆13Updated 6 years ago