suhassmannn
I'm a Final-year student at BIT College, passionate about Data Science, AI & ML. Always eager to collaborate on innovative projects !!
Bangalore, India
suhassmannn's Stars
bigletka/violence_detection
The violence detection in 11k image dataset, binary classification with Vision Transformers, ResNet, DenseNet
EnginDenizErkan/Medical_Image_Classification_Using_Transformer_Models
Developed and benchmarked ResNet and Vision Transformer (ViT) models for classifying medical images.
BoranT-3000/ViT-ResNet50-Hybrid-Feature-Extractor
Combined Vision Transformer and ResNet50 Feature Extractors for Enhanced Image Classification
Miller-em/Classification
This repo is an image classification implementation using pytorch. The classification algorithm includes VGG16, ResNet, Vision Transformer and EfficientNet.
fifaak/Ear_cancer_classification_VIT_and_RESNET
Ear cancer classification using RESNET and attention map using vision transformers (with deployment)
prinshul/Text-Scraping-Document-Clustering-Topic-modeling
The objective of this project is to scrape a corpus of news articles from a set of web pages, pre-process the corpus, and then to apply unsupervised clustering algorithms to explore and summarise the contents of the corpus. Part 1. Text Data Scraping This part of the project should be implemented as a Python script 1. Identify the URLs for all news articles listed on the website: http://mlg.ucd.ie/modules/COMP41680/news/index.html 2. Retrieve all web pages corresponding to these article URLs. 3. From the web pages, extract the main body text containing the content of each news article. Save the body of each article as plain text. Part 2. Corpus Exploration Tasks to be completed in your IPython notebook: 1. Load the text corpus generated in Part 1. Apply any appropriate pre-processing steps and construct a document-term matrix representation of the corpus. 2. Summarise the overall corpus by identifying the most characteristic terms and phrases in the corpus. 3. Apply two alternative clustering algorithms of your choice to the document-term matrix to produce clusters of related documents. This might require applying each algorithm several times with different parameter values. 4. For each clustering generated in Step 3, summarise the contents of the clusters. Based on your summary, suggest a topic/theme for each cluster.
inboxpraveen/FIFA-18-Management-System
This repository contains the whole project. This project was intended to exhibit as a DBMS project but it can also act as a web development project as it includes complete front end and back end.