GitHub topics: 2d-convolution
tgautam03/xFilters
GPU (CUDA) accelerated filters using 2D convolution for high resolution images.
Language: C++ - Size: 58.2 MB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 6 - Forks: 1

Winterwind/Covid19_Transfer_Learning
A larger data science project that uses a 2D Convolutional Neural Network to determine the likelyhood of having covid-19 via CT images
Language: Jupyter Notebook - Size: 143 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

0857boy/Two_Dimension_2D_Convolution_Processor_Design
Two-Dimension (2D) Convolution Processor Design
Language: Verilog - Size: 824 KB - Last synced at: 10 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

sunsided/python-conv2d
2D image convolution example in Python
Language: Python - Size: 15.6 KB - Last synced at: 4 months ago - Pushed at: about 5 years ago - Stars: 23 - Forks: 19

JohnMasoner/MedicalZoo
A General Medical Image Segmentation Framework.(Multi-Modal, Mono-Modal, 2D, 3D)
Language: Python - Size: 80.1 KB - Last synced at: 3 days ago - Pushed at: about 2 years ago - Stars: 9 - Forks: 0

Sakib1263/VGG-1D-2D-Tensorflow-Keras
Models Supported: VGG11, VGG13, VGG16, VGG16_v2, VGG19 (1D and 2D versions with DEMO for Classification and Regression).
Language: Jupyter Notebook - Size: 1.61 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 2

SYED-M-HUSSAIN/Deep_Scratch
This repository contains Convolutional Neural Networks implemented from scratch.
Language: Jupyter Notebook - Size: 2.84 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Sakib1263/TF-1D-2D-ResNetV1-2-SEResNet-ResNeXt-SEResNeXt
Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Classification and Regression).
Language: Jupyter Notebook - Size: 3.13 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 36 - Forks: 9

Sakib1263/Inception-InceptionResNet-SEInception-SEInceptionResNet-1D-2D-Tensorflow-Keras
Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO for Classification and Regression)
Language: Jupyter Notebook - Size: 6.11 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 31 - Forks: 4

fbasatemur/FFT_Conv2D
2D Convolution apply in Frequency Domain
Language: C - Size: 2.46 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 1

LouayMagdy/Speech-Emotion-Recognition Fork of Basel-byte/Speech-Emotion-Recognition
Speech Emotion Recognition using 1D and 2D Convolutional Neural Networks
Size: 1.6 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

ctsiaousis/ImageProcessingBasics 📦
Digital Image Processing with Matlab
Language: TeX - Size: 1.76 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0

vassef/Signals-Systems-Computer-assignments
Here is the Computer assignments material I designed for the Signals & Systems Winter 1400, instructed by Dr. Rabiei.
Size: 9.39 MB - Last synced at: 12 months ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

EliaFantini/Noise2Noise-Lite-two-ligther-versions-of-the-famous-AI-denoiser-for-small-images Fork of KieranVaudaux/DeepLearning
Noise2Noise is an AI denoiser trained with noisy images only. We implemented a ligther version which trains faster on smaller pictures without losing performance and an even simpler one where every low-level component was implemented from scratch, including a reimplementation of autograd.
Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

csbanon/mnist-classifiers
A collection of Jupyter notebooks containing various MNIST digit and fashion item classification implementations using fully-connected and convolutional neural networks (CNNs) built with TensorFlow and Keras. 2020.
Language: Jupyter Notebook - Size: 175 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

nildip/DeepLearn_NUMBERS
Set of 2D & 1D CNN models to classify images of handwritten numbers from the MNIST dataset using Keras.
Language: Jupyter Notebook - Size: 957 KB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 1
