shubha96ngi

shubha96ngi's Stars

• itdxer/neupy

  NeuPy is a Tensorflow based python library for prototyping and building neural networks

  Language:Python74233270160

• bamsumit/slayerPytorch

  PyTorch implementation of SLAYER for training Spiking Neural Networks

  Language:Jupyter Notebook305148791

• Devrim-Celik/interactive_neuron_model_simulator

  Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model etc...

  Language:Python663023

• jmbejara/comp-econ-sp19

  Main Course Repository for Computational Methods in Economics (Econ 21410, Spring 2019)

  Language:Jupyter Notebook48217726

• yashk2000/Image-Processing

  A set of algorithms and other cool things that I learned while doing image processing with openCV using C++ and python.

  Language:Python36309

• JonathanAMichaels/hebbRNN

  A Reward-Modulated Hebbian Learning Rule for Recurrent Neural Networks

  Language:MATLAB33418

• AbsurdePhoton/superpixels-segmentation-gui-opencv

  Superpixels segmentation algorithms with QT and OpenCV, with a nice GUI to colorize the cells

  Language:C++29327

• shakex/mr-brain-tissue-segmentation

  [ICIP'19] LSTM-MA: A LSTM Method with Multi-modality and Adjacency Constraint for Brain Image Segmentation (Oral)

  Language:MATLAB184011

• theodumont/superpixels-segmentation

  Research internship - Image segmentation by superpixels based on PyTorch

  Language:TeX17134

• omelchert/pyGLLE

  Python package for temporal evolution of initial conditions under the generalized Lugiato-Lefever equation

  Language:Python144111

• rishavb123/QuantumPhysicsWithDeepLearning

  Trains a keras neural network on data of the solved schrodinger's equation. The inputs of this model are samples from the potential from within the infinite asymmetric potential well and the output is samples from the solved wavefunction. The data is collected by solving the schrodinger's equation using a numeric method called the Runge-Kutta method.

  Language:Jupyter Notebook6203

• olivierverdier/SpecTraVVave

  Python project to compute bifurcation diagrams of travelling waves

  Language:Python4301

• priyap97/neuron-simulator

  Simulates firing rates of Hodgkin-Huxley, Leaky Integration Firing (LIF), and Izhikevich models of neurons based on simulated input current.

  Language:Python4001

• TrainorLab/eeg-analysis-templates

  iPython notebooks to help researchers get started with analyzing EEG data in Python.

  Language:Jupyter Notebook4301

• evstigneevnm/NLS_all_bounds

  1D Nonlinear schrodinger equations for different boundary conditions using cufft

  Language:Cuda20

• jyKim-97/hh_neuralnet

  Neural Network simulator for Hodgkin-Huxley neuron population

  Language:Jupyter Notebook220

• ttarnaud/CTX_BG_TH_UNMOD

  Language:MATLAB210

• BoguslawObara/neuriteness3d

  3d vessel enhancement filtering

  Language:MATLAB110

• clemvst/Parkinson_ComputationalNeuroscience

  Project of computational neuroscience : Model of Parkinson's neuronal population and influence of DBS (deep brain stimulation) on neuron oscillations

  Language:Jupyter Notebook110

• gregkronberg/tDCSplasticity

  simulate the effects of tDCS on synaptic plasticity in biophysical models

  Language:Jupyter Notebook110

• jhuebotter/website_notebooks

  This is a collection of jupyter notebooks in which I aim to break down and explain my research on spiking neural networks to myself and others.

  Language:Jupyter Notebook1100

• mehranfaraji/STDP-Finds-Start-of-Patterns

  This is a reimplementation of the paper 'Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains'.

  Language:Jupyter Notebook110

• ModelDBRepository/222932

  A simple model of neuromodulatory state-dependent synaptic plasticity (Pedrosa and Clopath, 2016)

  Language:Python1401

• shararezr/simulation-Neuronal-population-activity-python-computational-neuroscience

  Language:Jupyter Notebook110

• sunzhe839/Izhikevichmodel

  Language:Python13

• Yuru-Song/firing-rate-network-synaptic-learning-rule

  Language:Python120