bunnysaini/Disaster-Classificiation
To prepare an image processing model to classify the type of disaster based on the image dataset.
This dataset contains images for each disaster. Images are placed in folders with disaster name. Images with no damage are also available, for model training purposes. https://www.kaggle.com/varpit94/disaster-images-dataset
CS4044D Machine Learning Assignment 1 By Dev Sony, B180297CS The question, report and source code can be found here. Github Repo Solution 1 Based on t
Lobe This is a Home Assistant custom component for Lobe. Lobe is an AI tool that can classify images. This component lets you easily use an exported m
Convolutional Neural Network (CNN). This repository contains a source code of a deep learning network built with TensorFlow and Keras to classify gend
Convolutional Neural Network (CNN). This repository contains a source code of a deep learning network built with TensorFlow and Keras to classify gend
Rest API Written In Python To Classify NSFW Images.
To Design and Implement Logistic Regression to Classify Between Benign and Malignant Cancer Types, from a Database Taken From Dr. Wolberg reports his Clinic Cases.
Neural Net Image Classifier Employs neural networks to classify images into four categories: ship, automobile, dog or frog Viterbi_1.py uses a classic
Reference-Based-Sketch-Image-Colorization-ImageNet This is a PyTorch implementation of CVPR 2020 paper (Reference-Based Sketch Image Colorization usin
Models Playground 🗂️ Upload a Preprocessed Dataset 🌠 Choose whether to perform Classification or Regression 🦹 Enter the Dependent Variable ?
makelocal A tool to prepare websites grabbed with wget for local viewing. exapmples After fetching xkcd.com with: wget -r -no-remove-listing -r -N --p
Vietnamese sign lagnuage recognition using MHI and CNN This is a model to classify Vietnamese sign language using Motion history image (MHI) algorithm
Cats-and-dogs-classifier This is my first ML model which can classify between cats and dogs. Here the accuracy is around 75%, however , the accuracy c
ImageProcessingTransformer Third party Pytorch implement of Image Processing Transformer (Pre-Trained Image Processing Transformer arXiv:2012.00364v2)
The goal is to classify different birds species based on their songs/calls. Spectrograms have been extracted from the audio samples and used as features for classification.
Dynamic Stock Industrial Classification Use graph-based analysis to re-classify stocks and experiment different re-classification methodologies to imp
Passion Fruit Disease Detection I tried to create an accurate machine learning models capable of localizing and identifying multiple Passion Fruits in
SLATE This is the official source code for SLATE. We provide the code for the model, the training code and a dataset loader for the 3D Shapes dataset.
Learning Open-World Object Proposals without Learning to Classify Pytorch implementation for "Learning Open-World Object Proposals without Learning to
Deep Learning - EAT Challenge About This project is part of an AI challenge of the DeepLearning course 2021 at the University of Augsburg. The objecti
6 Nov 9, 2021
4 Feb 28, 2022
1 Dec 18, 2021
2 Dec 23, 2021
1 Jul 31, 2022
1 Jan 18, 2022
11 Jul 28, 2022
19 Dec 10, 2022
5 Apr 23, 2022
3 Feb 24, 2022
4 Aug 20, 2021
61 Jan 1, 2023
9 Dec 27, 2022
10 Dec 5, 2022
3 Nov 9, 2021
66 Dec 26, 2022
149 Dec 22, 2022
1 Oct 24, 2021