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

Numpy implementation of deep learning

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

CNN

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

Basic_CNN_Implementation

Basic_CNN_Implementation

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

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.

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