conv2d | Topic | Ecosyste.ms: Repos

Topic: "conv2d"

DebeshJha/ResUNetPlusPlus

Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation) (IEEE ISM)

Language: Python - Size: 293 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 134 - Forks: 33

vilari-mickopf/mmwave-gesture-recognition

Basic Gesture Recognition Using mmWave Sensor - TI AWR1642

Language: Python - Size: 1.71 MB - Last synced at: about 21 hours ago - Pushed at: 8 months ago - Stars: 130 - Forks: 22

avik-pal/DeepLearningBenchmarks

Benchmarks across Deep Learning Frameworks in Julia and Python

Language: Julia - Size: 720 KB - Last synced at: 17 days ago - Pushed at: about 5 years ago - Stars: 25 - Forks: 0

georgeyiasemis/2D-Convolutional-Recurrent-Neural-Networks-with-PyTorch

2D Convolutional Recurrent Neural Networks implemented in PyTorch

Language: Python - Size: 11.7 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 16 - Forks: 3

deep-learning-algorithm/PyNet

Numpy implementation of deep learning

Language: Python - Size: 21.5 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 13 - Forks: 4

EPSOFT/layers

layers

Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: 21 days ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 0

sushant1827/Fashion-Clothing-Classification

Kaggle Machine Learning Competition Project : In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset of Zalando's article images

Language: Jupyter Notebook - Size: 6.59 MB - Last synced at: 20 days ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 3

marchete/Mokka

Mokka is a minimal Inference Engine for Dense and Convolutional 2D Layer Neural Networks. Written on a single C++ header, it uses AVX2

Language: C++ - Size: 1.33 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 3

mdnuruzzamanKALLOL/CNN_Basic

CNN

Language: Jupyter Notebook - Size: 326 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

fessuoyM/numpy-nDim-Convolution

A FAST pure numpy based 1D, 2D, even n-dimensional convolution library.

Language: Python - Size: 20.5 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0

iamnderitum/Deep-Neural-Network-for-Multi-class-Classification-of-Fashion-Items

This PyTorch-based project implements a deep neural network for multi-class classification of fashion items. The dataset consists of images categorized into three classes: glasses vs. sunglasses, shoes, and trousers vs. jeans.

Language: Python - Size: 7.04 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 2 - Forks: 1

mdnuruzzamanKALLOL/CNN-Implementation_1

Basic_CNN_Implementation

Language: Jupyter Notebook - Size: 1.41 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

meryemtetik/Image_Classification

CIFAR10 Dataset.

Language: Jupyter Notebook - Size: 928 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

EPSOFT/Keras-Convolutianl-Networks

Keras Convolutianl Networks

Language: Jupyter Notebook - Size: 35.2 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

EPSOFT/Image-Augmentation

Image Augmentation

Language: Jupyter Notebook - Size: 894 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

erfanhamdi/torch_PIV

This code uses the pyTorch Conv2D modules to make the PIV algorithms work faster on GPU

Language: Python - Size: 9.41 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

ZJW-92/Fashion-Class-Classification

In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset.

Language: Jupyter Notebook - Size: 12.2 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

AdityaTheDev/ConvolutionalNeuralNetwork-To-Classify-DogVsCat

Convolutional Neural Network to Classify Dogs and Cat. I built a ImageClassifier which classifies and tells you whether its a Dog image or a Cat image. I built a convolutional network which consists of Three Convolution layer and Three MaxPooling layer. Each Convolutional layer has filters, kernel size. Maxpooling layer has stride and pooling size. Then this Convolutional layer Connects to DeepNeuralNetwork. DNN has three hidden layer and output layer having Sigmoid Activation function. I trained this model for 31 epochs and achieved an accuracy of around 85%. I found this massive image dataset online which has 10,028 images(Ten Thousand and Twenty Eight). My model Predicted accurately during the testing phase. I even tested my model using my neighbor dog's pic and it predicted accurately.

Language: Jupyter Notebook - Size: 838 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

abhishekchavannn/Image-Super-Resolution-SRCNN

Deployed the super-resolution convolution neural network (SRCNN) using Keras. Recovers a high-resolution image from a low-resolution input.

Language: Jupyter Notebook - Size: 689 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

Lukas-Justen/Machine-Learning-Tutorials

A repository for machine learning problems and exploration of different ML libraries. The goal of this repository is to collect takeaways while developing ML models. This should improve my overall understanding of developing machine learning applications.

Language: Jupyter Notebook - Size: 23.6 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

aarid/cuda_operations

This project compares performance between CPU and GPU with CUDA operations. Two simples cases are used: matrix multiplication and 2d convolution.

Language: Cuda - Size: 3.91 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

anurima-saha/Image_Classification_CNN_MobileNetV3

IMAGE CLASSIFICATION USING CNN and MobileNetV3

Language: Jupyter Notebook - Size: 152 KB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

schketik/neural_network_keras_resnet

Computer Vision Model for Age Estimation from Facial Images

Language: Jupyter Notebook - Size: 594 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

witmemtech/Witin-NN-Tool-

The "witin_nn" framework, based on PyTorch, maps neural networks to chip computations and supports operators including Linear, Conv2d, and GruCell. It enables 8-12 bit quantization for inputs/outputs and weights, implementing QAT.

Language: Python - Size: 19.6 MB - Last synced at: 20 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

shhiivvaam/Traffic_Prediction

This project explores the application of advanced neural network architectures, including Multi-Layer Perceptron (MLP), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU), to forecast traffic volume. 👍👍✅

Language: Jupyter Notebook - Size: 555 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Nandhakumar-rg/Multi-Class-Classification-of-MonkeyPox-using-MobileApp-with-Conv2D-VGG-19

• Developed a Keras model for classification and a Flutter Mobile App for users to detect pox. • Submitted for International Journal Elsevier.

Language: Python - Size: 214 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ostad-ai/PyTorch-Tutorial

This repository provides topics in PyTorch which is used for Deep Learning

Language: Jupyter Notebook - Size: 3.26 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mohadeseh-ghafoori/CNN-with-pooling-layer

Language: Jupyter Notebook - Size: 13.7 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

s0nya21/German-Traffic-Signs-dataset-DL-

Creating a classifier for the German Traffic Signs dataset that classifies images of traffic signs into 43 classes.

Language: Jupyter Notebook - Size: 171 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

karolus-git/mnist-cnn

Language: Python - Size: 14.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

mohadeseh-ghafoori/Residual-Networks

Language: Jupyter Notebook - Size: 1.95 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

mohadeseh-ghafoori/Semantic-Image-Segmentation-with-U-Net

Language: Jupyter Notebook - Size: 520 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

mohadeseh-ghafoori/Face-Recognition

Language: Jupyter Notebook - Size: 1.95 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Kikumu/DCGAN-with-facedata

This repository Investigates DCGAN using facedata. Serves as a personal cautionary tale when working with GANS.

Language: Jupyter Notebook - Size: 87.3 MB - Last synced at: 11 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

aprameya2001/People-Identification-using-Face-and-Gait

A project to perform people identification at a distance using face and gait data with deep learning

Language: Jupyter Notebook - Size: 259 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1

spectre900/People-Identification-using-Face-and-Gait Fork of aprameya2001/People-Identification-using-Face-and-Gait

A project to perform people identification at a distance using face and gait data with deep learning

Size: 258 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

OmkarKatkade/Image-Classification-UsinG-Convolutional-Neural-Network

This model helps us classify 10 different real-life objects by undergoing training under tensorflow's CIFAR dataset which contains 60,000 32x32 color images with 6000 images of each class. I have made use of a stack of Conv2D and MaxPooling2D layers followed by a few densely connected layers.

Language: Jupyter Notebook - Size: 3.91 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0