Pinned Repositories
Arabic-Part-Of-Speech-POS-tagging
Bone_fracture_segmentation-and-classifcation-using-nn_unet
Day_Night_porjects
This repo includes some of the codes i have worked on.
deeplearning-models
A collection of various deep learning architectures, models, and tips
Emotopia-Mood-Enhancer
Ai Music Recommendation System based on your current Emotion
Fine-Tuning-trials-for-LLMs-Models
All colab notebooks related to LLMS
Homonyms-Problem-in-the-text-
n the vast jungle of natural language, homonyms stand like tangled thickets, posing a significant obstacle for Natural Language Processing (NLP) models. These pesky words, like "bat" or "bark,"
Machine-Learning-templates
Mask-Detection
Multi-Label-classification-on-lung-diseases-CheXpert-competition-Graduation-Project
Our approaches to reach highest AUC with lowest computational power on CheXpert competition by Stanford
Zecoabdo16's Repositories
Zecoabdo16/Multi-Label-classification-on-lung-diseases-CheXpert-competition-Graduation-Project
Our approaches to reach highest AUC with lowest computational power on CheXpert competition by Stanford
Zecoabdo16/Fine-Tuning-trials-for-LLMs-Models
All colab notebooks related to LLMS
Zecoabdo16/Emotopia-Mood-Enhancer
Ai Music Recommendation System based on your current Emotion
Zecoabdo16/Mask-Detection
Zecoabdo16/Day_Night_porjects
This repo includes some of the codes i have worked on.
Zecoabdo16/Machine-Learning-templates
Zecoabdo16/Arabic-Part-Of-Speech-POS-tagging
Zecoabdo16/Bone_fracture_segmentation-and-classifcation-using-nn_unet
Zecoabdo16/deeplearning-models
A collection of various deep learning architectures, models, and tips
Zecoabdo16/Homonyms-Problem-in-the-text-
n the vast jungle of natural language, homonyms stand like tangled thickets, posing a significant obstacle for Natural Language Processing (NLP) models. These pesky words, like "bat" or "bark,"
Zecoabdo16/ivy
The Unified Machine Learning Framework
Zecoabdo16/Oxford-Flowers-102
Zecoabdo16/Rag
Zecoabdo16/Topic_modeling-Hot-words_Extraction
Imagine sifting through a mountain of text, not for the familiar peaks of recurring themes, but for the fleeting sparks of words bursting into sudden popularity. This domain within NLP, aptly named "hot keyword extraction," delves into the dynamic realm of trending topics and real-time buzz.