[go: up one dir, main page]

Skip to content
View fatemafaria142's full-sized avatar
🏠
Working from home
🏠
Working from home

Block or report fatemafaria142

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
fatemafaria142/README.md

Research Interests

Large Language Models, Large Vision Models, Computer Vision, Medical Imaging, Natural Language Processing, Generative Adversarial Networks, Explainable Artificial Intelligence, Machine Learning, Deep Learning and its applications.

Profile Views

Connect with me

Languages and Tools

pytorch TensorFlow Keras OpenCV Python MongoDB Django
C# C C++ .NET Java PHP HTML5 MySQL

Github Stats

GitHub Streak

Pinned Loading

  1. MultiBanFakeDetect-An-Extensive-Benchmark-Dataset-for-Multimodal-Bangla-Fake-News-Detection MultiBanFakeDetect-An-Extensive-Benchmark-Dataset-for-Multimodal-Bangla-Fake-News-Detection Public

    This study introduces MultiBanFakeDetect, a novel multimodal dataset for Bangla fake news detection, combining textual and visual information. It features TextFakeNet for text analysis and MultiFus…

    Jupyter Notebook 4 2

  2. Large-Language-Models-Over-Transformer-Models-for-Bangla-NLI Large-Language-Models-Over-Transformer-Models-for-Bangla-NLI Public

    This research examines Large Language Models in Bengali Natural Language Inference, comparing them with state-of-the-art models using the XNLI dataset.

    Jupyter Notebook 3 1

  3. BanglaCalamityMMD-A-Comprehensive-Benchmark-Dataset-for-Multimodal-Disaster-Identification BanglaCalamityMMD-A-Comprehensive-Benchmark-Dataset-for-Multimodal-Disaster-Identification Public

    Forked from Mukaffi28/BanglaCalamityMMD-A-Comprehensive-Benchmark-Dataset-for-Multimodal-Disaster-Identification

    This study presents a novel multimodal fusion technique for disaster identification in Bangla, combining text and image data using the "BanglaCalamityMMD" dataset. Employing DisasterTextNet, Disast…

    Jupyter Notebook

  4. Retinal-Fundus-Classification-using-XAI-and-Segmentation Retinal-Fundus-Classification-using-XAI-and-Segmentation Public

    This research enhances early disease diagnosis by analyzing retinal blood vessels in fundus images using deep learning. It employs eight pre-trained CNN models and Explainable AI techniques.

    Jupyter Notebook 4 2

  5. ExplainableAI-PotatoGAN-Cutting-Edge-Disease-Identification-for-Potatoes ExplainableAI-PotatoGAN-Cutting-Edge-Disease-Identification-for-Potatoes Public

    Forked from Mukaffi28/ExplainableAI-PotatoGAN-Cutting-Edge-Disease-Identification-for-Potatoes

    This research introduces PotatoGANs, a novel data augmentation technique using GANs to generate synthetic potato disease images, improving model generalization in agricultural disease segmentation

    Jupyter Notebook 1

  6. Vashantor-A-Large-scale-Multilingual-Benchmark-Dataset Vashantor-A-Large-scale-Multilingual-Benchmark-Dataset Public

    Forked from Mukaffi28/Vashantor-A-Large-scale-Multilingual-Benchmark-Dataset

    This study addresses the gap in translating Bangla regional dialects into standard Bangla by creating a large-scale multilingual benchmark dataset of 32,500 sentences in Bangla, Banglish, and Engli…

    Jupyter Notebook