An Android App recreating the Simon Says game. Uses MediaPipe to run an LLM on device

Image classification convolutional neural network, using TensorFlow with an NVIDIA GPU

Este proyecto tiene como objetivo implementar transfer learning utilizando un dataset de aves obtenido de Kaggle. El dataset, disponible en Kaggle BIRDS 525 SPECIES- IMAGE CLASSIFICATION, será utilizado para crear un entregable para la materia de Redes Neuronales Profundas de la Maestría en Ciencia de Datos en la Universidad de Sonora.

EfficientNetV2 (Efficientnetv2-b2) and quantization int8 and fp32 (QAT and PTQ) on CK+ dataset . fine-tuning, augmentation, solving imbalanced dataset, etc.

Binary classification, SHAP (Explainable Artificial Intelligence), and Grid Search (for tuning hyperparameters) using EfficientNetV2-B0 on Cat VS Dog dataset.

This GitHub repository contains instructions for downloading and utilizing the AI4Food-NutritionDB food image database, as well as different food recognition systems based on Xception and EfficientNetV2 architectures.

Google Brain AutoML

Repository containing Code and other materials for the Research Project on Rock Type Classification

"DressMeUp" project utilizes fashion images and color combinations to achieve image classification for clothing combinations. Algorithms include SGD (SVM), Passive Aggressive Classifier, ResNet50 CNN, and EfficientNetV2-S CNN with K-Means for color analysis. Achieved accuracy exceeds 90%. Built with Python, Scikit-Learn, TensorFlow, and Streamlit.

Automated Diagnosis of Pneumonia from Classification of Chest X-Ray Images using EfficientNet

Plant disease detection on PlantVillage dataset using EfficientNetV2-B0

Pyramid-based structure for head pose estimation

EfficientNetV2 reimplement with Pytorch framework

Final submission project in Belajar Pengembangan Machine Learning by Dicoding Academy about Image Classification Facial Emotion With EfficientNetV2-S Tensorflow

Predict Cervical Cancer with Algoritm EfficientNetV2 Tensorflow and Pythorch

Harmful Brain Activity Detection Classification - Classify seizures and other patterns of harmful brain activity in critically ill patients

Outlier Detection and Deep Learning Classification Project

The project, undertaken as part of the Post Graduate Dissertation, aims to identify, analyze, and propose innovative solutions for sustainable textile recycling, leveraging data science techniques.

Explorative Computer Vision Project using EfficientNet

Source codes of team TikTorch (1st place solution) for track 2 and 3 of the SHREC2023 Challenge