azimovtaleh's Stars
azimovtaleh/6S191_MIT_DeepLearning
MIT Introduction to Deep Learning (6.S191) Instructors: Alexander Amini and Ava Soleimany Course Information Summary Prerequisites Schedule Lectures Labs, Final Projects, Grading, and Prizes Software labs Gather.Town lab + Office Hour sessions Final project Paper Review Project Proposal Presentation Project Proposal Grading Rubric Past Project Prop
orobix/retina-unet
Retina blood vessel segmentation with a convolutional neural network
meisamrf/Image-denoising-tensorflow-keras
Deep learning based image denoising using tensorflow/Keras combined with block matching
AdalbertoCq/Deep-Learning-Specialization-Coursera
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
lychengrex/Image-Denoising-with-Deep-CNNs
Use deep Convolutional Neural Networks (CNNs) with PyTorch, including investigating DnCNN and U-net architectures
Gaurav-Pande/Image-Denoising
CS 7641 Machine Learning project
chvlyl/ML_in_Biomed
Machine Learning in Healthcare and Biomedical Applications
gulcininat/Edge-Detection-Kenar-Bulma
Canny, Laplacian, Prewitt, Robert, Sobel, Zero cross, Knear bulma algoritmaları ayrı ayrı matlab kodları verilmiştir.
jasonpan666/CS549ComputerVision
•Hybrid Image, Image Pyramid, Edge Detection •Detection, Description, and Matching •Face Recognition using Eigenface and Fisherface methods •Scene Recognition with Bag of Words •Final Project: Deep Convolutional Neural Network (CNN) and Support Vector Machine (SVM) in Pet Image Recognition
SeyedMuhammadHosseinMousavi/PSO-SA-Image-Segmentation
PSO + SA Image Segmentation
jyotidabass/Homogeneity-operator-Edge-detection
SevdanurGENC/EdgeDetectionByAntColonyAlgorithm
Use of edge detection method in images by using ant colony algorithm.
Ayanzadeh93/Antcolony-edgedetection
Edge detection by Ant Colony Optimization,
aParsecFromFuture/MultilayerPerceptron
Fully connected artificial neural network simulation project.
jorgenkg/python-neural-network
This is an efficient implementation of a fully connected neural network in NumPy. The network can be trained by a variety of learning algorithms: backpropagation, resilient backpropagation and scaled conjugate gradient learning. The network has been developed with PYPY in mind.
jmhong-simulation/FCNN
Fully connected neural network example
biopatrec/biopatrec
BiospinTelkomUniversity/EMG-Signal-Monitor
a software to display ElectroMyograph signal using Matlab, and Arduino as Actuator Arm Robot
advaitparulekar/EMG-NN-Classifier
EMG signal classifier for detecting muscular activation, Summer 2016, written for the Arduino OLIMEX EMG Shield
aurobots/Arduino-EMG-sensor
cancui/EMG-Signal-Processing-Library
A real-time signal processing library for EMG sensors. View the README.md to see raw vs. processed signals!