pyhsmm_spiketrains

pyhawkes

Python framework for inference in Hawkes processes.

pytorch-deep-markov-model

PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAA...

graphistician

Generative random network models and Bayesian inference algorithms

pyslds

UNKNOWN

minGPT-flax

GPT implementation in Flax

QSNNs

Quantization-aware training with spiking neural networks

theano_pyglm

Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-...

onsager_deep_learning

Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"

mlinsights

Extends scikit-learn with new models, transformers, metrics, plotting.

Parallel-Spiking-Neuron

pyhsmm

Bayesian inference in HSMMs and HMMs

Parametric-Leaky-Integrate-and-Fire-Spiking-Neuron

Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks

recurrent-slds

Recurrent Switching Linear Dynamical Systems

pyglm

Interpretable neural spike train models with fully-Bayesian inference algorithms

pyhsmm-autoregressive

autoregressive plugin