colinshane's repositories
Machine-Learning-Study-Path-March-2019
A complete ML study path, focused on TensorFlow and Scikit-Learn
Spiking-Neural-Network-Implementations
This repository contains current implementations of Spiking Neural Networks.
the-craft-of-selfteaching
One has no future if one couldn't teach themself.
EvolvingANN
Spiking Artificial Neural Network With Reward Driven Hebbian Learning
TCAS-STDP
TCAS-I: Efficient FPGA Implementations of Pair and Triplet-based STDP for Neuromorphic Architectures
Forecasting-LSTM-WTA
Combines the variational inference winner-take-all spiking neural network model (VIWTA SNN) with a standard vanilla LSTM built using the Keras Python package to predict time series steps and sequences.
snn-encoder-tools
Data encoders
ANN-SNN-Object-Recognition
Event-based object recognition using analog and spiking neural networks
SpikingNeuralNetwork-1
An efficient implementation of a stochastic Spiking Neural Network for handwrittend digits recognition
DVS-multi-cue-pedestrian-detection
Multi-Cue Event Information Fusion for Pedestrian Detection with Neuromorphic Vision Sensors
rpg_feature_tracking_analysis
Package for performing analysis on event-based feature trackers.
HAR-DVS
This project is a part of our work, "Dynamic Vision Sensors for Human Activity Recognition"
neuronaldynamics-exercises
Python exercises accompanying the book "Neuronal Dynamics"
SpykeTorch
High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.
combra_loihi
Α neuromorphic computing library for introducing astrocytes to Intel's Loihi chip
Spiking-Neural-Nets-for-Distributed-Systems
Spiking Neural Network for High Performance Computing Platforms.
local-loss
PyTorch code for training neural networks without global back-propagation
model-sw-pong
Neuromorphic R-STDP Experiment Simulation
LIF_Neuromorphic
some of our simulation codes for : A Low-Cost High-Speed Neuromorphic Hardware Based on Spiking Neural Network
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
Spiking-Neural-Networks
Working on Spiking Neural Network algorithms
Designers-Learn-Git
为设计师而作的GitHub的快速学习教程
CyNAPSE
A Low-Power Neural Processing Engine for reconfigurable spiking competitive networks
Spike
A GPGPU based Spiking Neural Network (SNN) designed to be as transparent and easy to modify as possible. Written in C++/CUDA.
event-flow
This repository is an implementation of motion flow computation from DVS events following the method of "Event-Based Visual Flow" (https://ieeexplore.ieee.org/document/6589170)
rpg_dvs_ros
ROS packages for DVS
hmm-stdp
STDP installs in winner-take-all circuits an online approximation to hidden Markov model learning