Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)
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Updated
Oct 17, 2023 - Python
Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)
Basic Gesture Recognition Using mmWave Sensor - TI AWR1642
Mokka is a minimal Inference Engine for Dense and Convolutional 2D Layer Neural Networks. Written on a single C++ header, it uses AVX2
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
2D Convolutional Recurrent Neural Networks implemented in PyTorch
A project to perform people identification at a distance using face and gait data with deep learning
This code uses the pyTorch Conv2D modules to make the PIV algorithms work faster on GPU
A project to perform people identification at a distance using face and gait data with deep learning
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.
This repository provides topics in PyTorch which is used for Deep Learning
Basic_CNN_Implementation
Basic_CNN_Implementation
This repository Investigates DCGAN using facedata. Serves as a personal cautionary tale when working with GANS.
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 si…
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.
IMAGE CLASSIFICATION USING CNN and MobileNetV3
Computer Vision Model for Age Estimation from Facial Images
Reinforcement Learning with Actor-Critic to play Breakout-v4 (Atari) from OpenAI Gym
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