Awesome Open Source

Programming Languages

Search results for matlab neural

170 search results found

Deeplearntoolbox ⭐ 3,477

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

Awesome_deep_learning_interpretability ⭐ 699

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

Lrp_toolbox ⭐ 270

The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.

Machinelearning ⭐ 222

Exercises for the Stanford/Coursera Machine Learning Class

Hierarchical Neural Autoencoder ⭐ 204

Nmt.hybrid ⭐ 184

State-of-the-art Neural Machine Translation Codebase including Hybrid Word-character Models

Neural Nets ⭐ 157

Programming Assignments and Lectures for Geoffrey Hinton's "Neural Networks for Machine Learning" Coursera course

Practical Cnn ⭐ 146

A VGG practical on convolutional neural networks

Vcnn_double Bladed ⭐ 115

Vectorized implementation of convolutional neural networks (CNN) in Matlab for both visual recognition and image processing.

Signalgraph ⭐ 110

Matlab-based deep learning toolkit that supports arbitrary directed acyclic graphs (DAG). Support DNN, LSTM, CNN layers and many signal processing layers. Include recipes/examples of using the tool for various tasks.

Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network

Deepvisualization ⭐ 103

Visualizing Deep Neural Network by Alternately Image Blurring and Deblurring

Matlab Environment for Deep Architecture Learning

Nmt.matlab ⭐ 95

Code to train state-of-the-art Neural Machine Translation systems.

Neuralsubdiv ⭐ 90

prototype code for neural subdivision

Machine Learning Coursera ⭐ 89

Lecture notes and assignments for coursera machine learning class

Demo code for the paper STC2 which released three short text datasets for clustering and classification

Convolutional Neural Networks for Pedestrian Detection

A Recurrent Neural Network Toolbox for Python and Matlab

Modelingpreparation ⭐ 70

数学建模准备工作，包括一些算法的手写与调用

Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network

Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-implemented models belong to the family of neural population models.

Cortexsys ⭐ 63

Matlab GPU Accelerated Deep Learning Toolbox

Mtrf Toolbox ⭐ 63

A MATLAB Package for Relating Neural Signals to Continuous Stimuli

Dnn Speech Enhancement Demo Tool ⭐ 58

Universal Deep neural network based speech enhancement demo and tools, well pre-trained DNN model

Neuralnetplayground ⭐ 58

A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/

Methods_class ⭐ 54

"Approaches to Study Neural Circuits" course

Code for paper "Full-Capacity Unitary Recurrent Neural Networks"

Libraries for training and testing Continuous Conditional Neural Fields with a number of sample problems and other baselines.

Scatternet ⭐ 49

Code for all work presented in Nanophotonic Particle Simulation and Inverse Design Using Artificial Neural Networks

Spiking_relu_conversion ⭐ 48

Deeplearntoolbox ⭐ 48

Min1pipe ⭐ 46

A MINiscope 1-photon-based Calcium Imaging Signal Extraction PIPEline.

Individualized_hrtf_synthesis ⭐ 44

Synthesis of individualized HRTFs based on Neural Networks, Principal Component Analysis and anthropometry

Linkprediction ⭐ 40

Code for "M. Zhang, Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, KDD 2017"

Computational Neuroscience ⭐ 37

Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel models, basic neural networks, and neural decoding.

Matlabcnn ⭐ 36

Matlab codes for 2D Convolutional Neural Network

A Neural Approach to Blind Motion Deblurring

LipSDP - Lipschitz Estimation for Neural Networks

Course Neural Networks For Machine Learning ⭐ 35

Neural Networks for Machine Learning (University of Toronto)

Neuroglm ⭐ 34

Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).

Finchscope ⭐ 34

Single photon tools for Neuroscience

Stock Market Prediction Using Neural Networks And Genetic Algorithm ⭐ 33

Matlab Module for Stock Market Prediction using Simple NN

Drnn4ass ⭐ 31

Deep Recurrent Neural Network for Audio Source Separation

Smartasabug ⭐ 30

Code used in the paper "Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the Manduca sexta Moth, with Applications to Neural Nets", by CB Delahunt, JA Riffell, and JN Kutz, January 2018.

Adaptive_and_fault_tolerant_flight_control_systems ⭐ 27

Adaptive and fault tolerant flight control with Adaptive Neural Networks

Gaitoraid ⭐ 26

Usage of gait information to establish identity of a person in traffic cameras

Semantic Network for Quantum Physics

Nnpreimage ⭐ 25

Code for Visualizing Deep Convolutional Neural Networks Using Natural Pre-images, IJCV 2016

SIFT is an EEGLAB-compatible toolbox for analysis and visualization of multivariate causality and information flow between sources of electrophysiological (EEG/ECoG/MEG) activity. It consists of a suite of command-line functions with an integrated Graphical User Interface for easy access to multiple features. There are currently six modules: data preprocessing, model fitting and connectivity estimation, statistical analysis, visualization, group analysis, and neuronal data simulation.

Neural Spike Train Analysis Toolbox for Matlab

A Reward-Modulated Hebbian Learning Rule for Recurrent Neural Networks

Meganet.m ⭐ 21

A fresh approach to deep learning written in MATLAB

Pulse Coupled_neural_networks_pcnn ⭐ 21

Computational Mechanisms of Pulse-Coupled Neural Networks: A Comprehensive Review

Convolutional Neural Network ⭐ 20

This is a matlab implementation of CNN on MNIST

Tensorflow implement of Artifacts Reduction Convolutional Neural Network

Neural tensor network for KB completion ( http://papers.nips.cc/paper/by-source-2013-504 )

Preferential Subspace Identification Algorithm

Reachability Analysis of Deep Neural Networks with Provable Guarantees

Cnnforcfd ⭐ 19

This folder contains a sample code for the use of convolutional neural network for fluid force prediction of bluff body flows.

Convolutional neural network based metal artifact reduction (CNN-MAR) in x-ray computed tomography

Deephypercnn ⭐ 19

Classification of Hyperspectral Satellite Image Using Deep Convolutional Neural Networks

Implemention of paper "deep hyperspectral image sharpening (TNNLS 2018)"

Speakeridentificationneuralnetworks ⭐ 18

⇨ The Speaker Recognition System consists of two phases, Feature Extraction and Recognition. ⇨ In the Extraction phase, the Speaker's voice is recorded and typical number of features are extracted to form a model. ⇨ During the Recognition phase, a speech sample is compared against a previously created voice print stored in the database. ⇨ The highlight of the system is that it can identify the Speaker's voice in a Multi-Speaker Environment too. Multi-layer Perceptron (MLP) Neural Network base

Neuro Kl ⭐ 17

Python and Matlab code to estimate KL divergence and entropy of neural data distributions

Crabsort ⭐ 17

🦀🦀🦀 Sort spikes from extra-cellular recordings using neural networks. Fully automated.

Offline Nepali Handwritten Character Recognition Using Artificial Neural Networks

This package contains the code to run prDeep; a noise robust phase retrieval algorithm based on deep neural networks.

Exemplar_cnn ⭐ 16

Unofficial fork of the Code used in the paper "Discriminative Unsupervised Feature Learning with Convolutional Neural Networks", NIPS 2014

Crowd Counting With Mcnns ⭐ 15

Crowd counting on the ShanghaiTech dataset, using multi-column convolutional neural networks.

Tip Csnet ⭐ 15

The training codes, the training data, and some pre-trained models for my TIP paper "Image Compressed Sensing using Convolutional Neural Network".

Neural_network_template ⭐ 15

template neural network developed in MATLAB and python

A non-absolute, time-space complex optimal artificial brain (composed in matrix laboratory (matlab), by Jordan Micah Bennett)

Jaccount_captcha_ocr ⭐ 14

To recognize the captcha in SJTU Jaccount login page.

Nn Dropout ⭐ 14

This code is for training feedforward neural networks with dropout.

Mutual Information For Neural Machine Translation ⭐ 14

Deep convolutional neural network for human activity recognition

Trafficsignrecognition_elm ⭐ 13

Matlab bindings for the Fast Artificial Neural Network Library

Reu Acceleratedchangedetectioninsarimages ⭐ 13

In this NSF funded Research Experience Undergraduates (REU) project, we develop and implement deep neural network algorithms for change detection of synthetic aperture radar (SAR) images. If you use our work, please cite our paper as a reference.

Matlab Neural Networks ⭐ 13

MATLAB Feed Forward Neural Networks with Back Propagation

Prediction Using Bayesian Neural Network ⭐ 13

Prediction of continuous signals data and Web tracking data using dynamic Bayesian neural network. Compared with other network architectures aswell.

Deeplearntoolbox ⭐ 12

DeepLearnToolbox带注释版

Machine Learning In Medical Imaging U Net ⭐ 12

TUM_MLMI_SS16: Convolutional Neural Network using U-Net architecture to predict one modality of a brain MRI scan from another modality.

Icip2018cdm ⭐ 12

The ICIP2018 paper "Color Image Demosaicking using a 3-stage Convolutional Neural Network Structure"

Neural Component Analysis ⭐ 12

This repository is mainly to show the source code of neural component analysis.

Neural Networks Matlab ⭐ 12

Implementation of Artificial neural networks in MATLAB.

Machine Learning ⭐ 12

Study Machine Learning in the Coursera

Octave Nn ⭐ 12

Octave code for Artificial Neural Networks

Cnnfromscratch ⭐ 12

Convolutional Neural Network in Matlab

Skipping Recurrent Neural Networks

Imageclassification ⭐ 11

Image Classification using SVM, Neural Networks etc.

White_balance_nn ⭐ 11

Use CNN to estimate illuminant. Project as ura under supervision of professor Peter Van Beek.

Imagined Speech ⭐ 11

Classifying syllables in Imagined Speech using EEG

👼 Matlab package implementing blind deconvolution method for neural spike recovery

Glm_and_izhikevich ⭐ 11

This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural responses.

Spiking_motion ⭐ 11

Matlab code for a Spiking Neural Network for Visual Motion Estimation

Bci_learning ⭐ 11

Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.

Piv Liteflownet En ⭐ 10

Particle image velocimetry via a deep neural network (LiteFlowNet)

Video Similarity ⭐ 10

Video Similarity from Deep Neural Nets

Related Searches

Network Neural (7,750)

Python Neural (7,444)

Jupyter Notebook Neural (3,926)

Neural Deep Learning (2,555)

Tensorflow Neural (1,668)

Algorithms Matlab (1,381)

Python Matlab (1,338)

Machine Learning Neural (1,332)

Pytorch Neural (1,217)

C Plus Plus Matlab (1,058)

1-100 of 170 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.