ResNet Comparison for Garbage Image Classification with PyTorch - models trained on GPU, then pickled for analysis on CPU

Handwritten Bangla Numeric Digits Classification using ResNet-34. The work uses a subset of the BanglaLekha-Isolated dataset. For details, read the README file.

A CLI tool that utilizes a ResNet convolutional neural network to recognize content in images and sort them into classes.

This notebook was curated as a part of Severstal Steel Detection Challenge by Kaggle . It gives an starter code for coding multiclass classifier using Pytorch

Capstone Project - brainstation

This repo is to demonstrate how to perform an image classificatiuon task in FastAI V2

Applying Deep Learning Techniques to determine fish feeding Status

ResNet classifier predicting whether a restaurant is crowded or not.

A light-hearted production ready image classifier trained using a convolutional neural network with resnet-34 architecture on 150 images returned by Bing Image Search API queries of bears.

Traffic-sign images classification using ResNet-34 CNN

A streamlined image classifier using to accurately identify distinct sports ball.

Breast Cancer Detection using Neural Network Architectures

A deep learning approach to classify alphabets of the American Sign Language

Create ResNet

Convolutional Neural Network written with PyTorch to diagnostic COVID19 based on recorded coughs.

A wild edible plant classifier that utilises state-of-the-art CNN architectures.

Emotion classification from human speech using ResNet-34 and transfer learning

Audio classification model. PyTorch.