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bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

carlsim4

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.

cipher-identification

Identification of Ciphers using Support Vector Machines and Neural Networks

cipher-type-detection

Machine learning system for identifying unknown cipher/hash algorithms based on bit variations among plaintext-keyword-ciphertext (chosen-plaintext attack).

comparison-of-disparity-estimation-algorithms

Implementation of simple block matching, block matching with dynamic programming and Stereo Matching using Belief Propagation algorithm for stereo disparity estimation

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

cuda-nnet

Spiking neural network implementation using CPU and CUDA engine

dhde_cvpr17

A Unified Approach of Multi-scale Deep and Hand-crafted Features for Defocus Estimation

disparity-estimation

izhikevichmodel

GitHub repository for an OSB project for model from http://izhikevich.org/publications/whichmod.htm

mri-tumor-segmentation-brats

MRI medical image segmentation

neural-style

Torch implementation of neural style algorithm

pso_cnn-optimization

pythonrobotics

Python sample codes for robotics algorithms.

time-based-otp

Time-based one-time password (TOTP) is a temporary passcode, generated by an algorithm, for use in authenticating access to computer systems.

unflow

UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss