DeepLearning.AI TensorFlow Developer Professional Certificate
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Updated
Aug 15, 2023 - Jupyter Notebook
DeepLearning.AI TensorFlow Developer Professional Certificate
Sign Language Recognition system with HWGAT model
Deep learning model using CRNN and MFCC features to classify underwater sounds and detect foreign threats based on acoustic frequency shifts.
The DJIN model of aging.
Website pages for Model Deployment of ICH Detection using DL
A digit recognition application for Bengali Handwritten Digits.
Deep Learning papers reading roadmap for anyone who is eager to learn this amazing tech!
The most cited deep learning papers.
A comprehensive deep learning-based system for the automated classification of skin diseases, leveraging convolutional neural networks to assist healthcare professionals in early diagnosis and treatment.
A curated list of awesome Deep Learning tutorials, projects and communities.
Deep Learning - NLP - Depression Analysis
Keras code and weights files for popular deep learning models.
Develop a framework that automatically selects the best machine learning model and hyperparameters for a given dataset. Implement techniques like Bayesian optimization for hyperparameter tuning.
Time-series analysis of the electricity load consumption in the Mumbai Metropolitan Region.
In this project you will find a theoretical justification and implementation from scratch of the most popular models of machine and deep learning
My Diploma Thesis for my MSc in Big Data & Networked Systems at Ionian University.
This project demonstrates how to build an image classification model using Convolutional Neural Networks (CNNs) to classify images into predefined categories. It covers data preprocessing, model building, training, and evaluation steps.
This folder contains code for the paper titled "Information maximization-based clustering of histopathology images using deep learning".
An end-to-end MLOps project for Pneumonia Detection using a fine-tuned Vision Transformer (ViT), with a complete CI/CD pipeline deploying a Gradio application to Hugging Face Spaces.
Real-time traffic sign recognition and classification system using hybrid Vision Transformer (ViT) and ResNet34 models. Achieves ~92% accuracy with YOLOv8-labeled data preprocessing and PyTorch-based inference pipeline.
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