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)
Tensors and dynamic Neural Networks in Mojo
Basic Gesture Recognition Using mmWave Sensor - TI AWR1642
Benchmarks across Deep Learning Frameworks in Julia and Python
2D Convolutional Recurrent Neural Networks implemented in PyTorch
layers
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
This code uses the pyTorch Conv2D modules to make the PIV algorithms work faster on GPU
Mokka is a minimal Inference Engine for Dense and Convolutional 2D Layer Neural Networks. Written on a single C++ header, it uses AVX2
Basic_CNN_Implementation
A project to perform people identification at a distance using face and gait data with deep learning
Basic_CNN_Implementation
A FAST pure numpy based 1D, 2D, even n-dimensional convolution library.
In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset.
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.
A project to perform people identification at a distance using face and gait data with deep learning
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.
Image classification based computer vision model CNN
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