Predict proteins crystallization conditions using LLMs and transfer learning
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Updated
Nov 12, 2024 - Python
Predict proteins crystallization conditions using LLMs and transfer learning
Efficient Brain Tumor Classificataion using Filter-Based Deep Feature Selection Methodology
The provided code demonstrates transfer learning by adapting a model trained using synthetic data to classify circles, squares, and triangles to classify new shapes like stars and pentagons. By fine-tuning a pre-trained model originally designed for a different task, the repository showcases how to efficiently adapt a model to a new domain.
Supervised Contrastive Learning for Diabetic Retinopathy Classification
This repository contains an IPython Notebook detailing the process of classifying X-ray lung images into 4 discrete categories.
A dog breed identification model specializing in precise classification from images, leveraging advanced transfer learning techniques with TensorFlow, Keras, and GPU acceleration
An end-to-end multi-class image classification system(web app) that classifies 101 classes of food. I'll be implementing the popular CNN architecture while utilizing the full power of transfer learning to extract features and fine-tune layers. I'll also build an interactive UI using react-js and deploy the system.
Photo sharing and photo storage services like to have location data for each photo that is uploaded. With the location data, these services can build advanced features, such as automatic suggestion of relevant tags or automatic photo organization, which help provide a compelling user experience.
Facial Recognition and Tracking Application using Deep Learning.
Deep neural network model combining audio signal processing and pre-trained audio CNN achieved 90.1% adjusted accuracy (27.6% improvement) for classifying audio recording environment.
It is a autonomous robot equipped with sensors and cameras with deep learning algorithms to monitor and maintain crop health and act as an aid to farmers and huge estate or nursery owners
Waste image classification platform to promote sustainability | Created at HackMIT 2022
INR Denomination Recognition is an image classification project
Identifying and classifying brain tumors in MRI scans using convolutional neural networks
Multi-object Detection System for Plant Stomata Phenotypic Traits, release only, which has been published on IEEE/ACM-TCBB 2021 (CCF-B)
Content-Based Image Retrieval System using multiple images deciphers for feature extraction
A transfer learning based COVID-19 lung x-ray classifier made into a WebApp!
Transfer Learning using InceptionResNetV2 to the Augmented Neuroimage Data for the Autism Spectrum Disorder (ASD) Classification, using ABIDE I dataset.
TFM-Lung-Disease-Classifier
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