33 skills found · Page 1 of 2
flatironinstitute / CaImAn MATLABComplete Matlab pipeline for large scale calcium imaging data analysis
BICLab / SpikeYOLOOffical implementation of "Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (ECCV2024 Best Paper Candidate)
HelmchenLabSoftware / CascadeCalibrated inference of spiking from calcium ΔF/F data using deep networks
CEA-LIST / N2D2N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.
synsense / SinabsA deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromorphic hardware.
slinderman / PyglmInterpretable neural spike train models with fully-Bayesian inference algorithms
slinderman / Theano PyglmGeneralized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and network priors.
ajayarunachalam / PynmsnnNeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch
im-afan / Snn FpgaSpiking neural network inference engine for 7-Series FPGAs
RuokaiYin / SATA SimSATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and inference with sparsity awareness.
jovo / Oopsiup-to-date code for model-based inference of spike trains from calcium imaging
BICLab / T RevSNNOffical implementation of High-Performance Temporal Reversible Spiking Neural Networks with $O(L)$ Training Memory and $O(1)$ Inference Cost, ICML 2024 spotlight.
synsense / Snn Workshop Amld 2020Repository for content for the AMLD2020 workshop "Spiking neural networks for real-time inference tasks"
jovo / Smc Oopsicode to implement our sequential monte carlo (smc) algorithm to perform optimal optical spike inference (oopsi) for individual neurons
deepspike / Tandem LearningThe source code for the paper entitled "A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks"
epnev / Constrained FoopsiImplementation of the constrained deconvolution spike inference algorithm in Matlab
Intelligent-Microsystems-Lab / QuantizedSNNsThis repository contains the models and training scripts used in the papers: "Quantizing Spiking Neural Networks with Integers" (ICONS 2020) and "Memory Organization for Energy-Efficient Learning and Inference in Digital Neuromorphic Accelerators" (ISCAS 2020).
ldv1 / Bbvi Spike And SlabBlack-box spike and slab variational inference, example with linear models
neuromethods / Inference For Integrate And Fire ModelsAnalytical methods for efficient inference of integrate-and-fire circuit models from single-trial spike trains
jewellsean / LZeroSpikeInferenceExact Spike Inference Via L0 Optimization
