I will share about Machine Learning and Deep Learning.
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Updated
Sep 11, 2023
I will share about Machine Learning and Deep Learning.
Skin Lesion Analysis Towards Melanoma Detection
Official PyTorch implementation of "Visualizing the Decision-making Process in Deep Neural Decision Forest", CVPR 2019 Workshops on Explainable AI
To Detect and Classify Brain Tumors using CNN and ANN as an asset of Deep Learning and to examine the position of the tumor.
Build a image classification python web app with Streamlit and PyTorch 🐱 🐶
This Problem is based on a Image Data set consisting of different types of weeds, to detect them in crops and fields. I have used Deep Learning Model called CNN(Convolutional Neural Networks) with Dropout, Batch Normalization, ReduceLearning rate on plateau, Early stoppig rounds, and Transposd Convolutional Neural Networks.
Classify Beatbox Genre using Mel Spectograms and Resnet18 Classifier
The following parameters have been analysed for a short badminton singles match video: 1. Player1 and Player 2 are detected with bounding boxes, 2. Recording and displaying the Start time and end time of the match, 3. Displaying the number of hits made by each player , 4. Displaying the number of out of the boundary hits (AWAYs) made by each pla…
A novel approach in training a DenseNet model for diagnosing COVID-19 Chest X-Rays.
This is a keras implementation of Convolution Neural Network for predict how many fingers are you holding up.
Flutter Avenger App - Android & iOS Deep Learning and Machine Learning App - All Marvel Hollywood Avengers Actors & Actresses Recogniser App
WasteEasy is an app designed to streamline waste management. Developed during the Envision Hackathon, it focuses on waste classification and encourages proper waste segregation. Users can earn points or coupons by utilizing WasteEasy for their waste disposal needs.
PyTorch Global Summer Hackathon 2020 Second Prize Winner in Mobile/Web Application Category
This repository consists of our Final Year Project. You can find everything starting from our code to all the resources in this repository
Photo Classification and Image Tag Generation on Yelp dataset of 200k images
CPSC 5305 01 22FQ Introduction to Data Science Project
Animal Prediction is a web application developed using Python and Django that allows users to predict the animal species based on uploaded photos. The application utilizes machine learning algorithms to analyze the image data and provide accurate predictions.
Models for Computer Vision
This project related to road safety. We have to wear a helmet according to road safety rules when riding a motorcycle. Therefore, these rules are monitored by the police. Also, Due to the invention of high-quality cameras and the development of the state of art in AI, the surveillance system willing to use AI system to detect whether passengers …
Simple CNN is a library that can be used to train and infer CNN models by use of PyTorch and ONNX.
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