fedepare Goto Github PK

bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

carlsim3

CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.

cuda-neural-network

A neural network implementation with CUDA and cuBLAS

cusnn

Spiking Neural Networks in C++ with strong GPU acceleration through CUDA

cusnn-samples

Samples which demonstrate features provided by cuSNN

ev-flownet

Code for the paper "EV-FlowNet: Self-Supervised Optical Flow for Event-based Cameras"

event-based_vision_resources

event_cnn_minimal

Minimal code for loading models trained for ECCV'20

evolutionary

Evolutionary algorithms for SNNs.

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

keras-mdn

Implementation of mixture density network layer and objective function in Keras

paparazzi

Paparazzi is a free and open-source hardware and software project for unmanned (air) vehicles. This is the main software repository.

pyhdc

A Python library to support long binary vectors

q-iteration

rosbag2aedat

spiking-mlp

A Spiking Multi-Layer Perceptron

tetrisrl

tinysnn

TinySNN lets you build tiny spiking neural networks in C.