Pinned Repositories
coding_llama
Llama2 is a state-of-the-art language model from Meta AI, designed for advanced NLP tasks using Transformer architecture. Fine-tuning Llama2 involves adapting the pre-trained model to specific tasks with PyTorch, optimizing it on domain-specific datasets to enhance performance.
Rebar_Count
Automates the counting of rebars in construction images using the Faster R-CNN model from Meta, providing an efficient and accurate solution. It addresses the challenge of human eyes being more suited for qualitative assessments, offering a quantitative approach to rebar detection
PALLIGEMMA
PALIGEMA: This project involves integrating both text and image data using a multimodal model. While the model is designed to process and generate outputs based on these two types of inputs, I built the code around a pretrained model to leverage existing capabilities and enhance performance.
count_time_waiting
Analyze time spent by customers at cashier counters and cars in traffic by monitoring predefined zones in video frames.
coding_stable_diffusion
Developed a comprehensive implementation of the CLIP model using PyTorch, focusing on efficient self-attention mechanisms and feedforward layers.
soccer
Soccer AI leverages cutting-edge computer vision and deep learning models to analyze soccer matches, detecting players, tracking ball movements, and identifying pitch boundaries, all while offering team classification and visual insights.
coding_transformer
Dive into Transformer Architecture
langchain_pdf
Liver_Segmentation
a7medm0sta
Hello Everyone , Hello Everybody I Just Start 😏😏😏😏😏😏😏😏
A7medM0sta's Repositories
A7medM0sta/coding_gpt2
A7medM0sta/OutofFocus
An AI focused photo manipulation tool based on Gradio
A7medM0sta/RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
A7medM0sta/a7medm0sta
Hello Everyone , Hello Everybody I Just Start 😏😏😏😏😏😏😏😏
A7medM0sta/LLM-workshop-2024-Solutions
A 3-hour coding workshop to understand how LLMs are implemented and used
A7medM0sta/coding_llama
Llama2 is a state-of-the-art language model from Meta AI, designed for advanced NLP tasks using Transformer architecture. Fine-tuning Llama2 involves adapting the pre-trained model to specific tasks with PyTorch, optimizing it on domain-specific datasets to enhance performance.
A7medM0sta/coding_gemma
A7medM0sta/coding_stable_diffusion
Developed a comprehensive implementation of the CLIP model using PyTorch, focusing on efficient self-attention mechanisms and feedforward layers.
A7medM0sta/medical_chatbot
Medical Chatbot using llama3.1
A7medM0sta/count_time_waiting
Analyze time spent by customers at cashier counters and cars in traffic by monitoring predefined zones in video frames.
A7medM0sta/Deployment_Machine_Learning
A7medM0sta/BERT
A7medM0sta/soccer
Soccer AI leverages cutting-edge computer vision and deep learning models to analyze soccer matches, detecting players, tracking ball movements, and identifying pitch boundaries, all while offering team classification and visual insights.
A7medM0sta/getting-started-app
A simple application for the getting started guide in Docker's documentation
A7medM0sta/mamba
A7medM0sta/sport
A7medM0sta/naruto_shippuden
Character Chatbot (LLM3), Character Network Space Pre-trained, Text Classification LLM, and Theme Classifier: a suite of models for simulating conversations, analyzing relationships, classifying text, and identifying themes in the Naruto series.
A7medM0sta/saas
A7medM0sta/coding_transformer
Dive into Transformer Architecture
A7medM0sta/Liver_Segmentation
A7medM0sta/VisionProjects
A7medM0sta/ObjectDetection_Tracking
A7medM0sta/iti_python
A7medM0sta/RAG_Llama
RAG-Powered Interactive Chatbot with Llama3
A7medM0sta/Rebar_Count
Automates the counting of rebars in construction images using the Faster R-CNN model from Meta, providing an efficient and accurate solution. It addresses the challenge of human eyes being more suited for qualitative assessments, offering a quantitative approach to rebar detection
A7medM0sta/PALLIGEMMA
PALIGEMA: This project involves integrating both text and image data using a multimodal model. While the model is designed to process and generate outputs based on these two types of inputs, I built the code around a pretrained model to leverage existing capabilities and enhance performance.
A7medM0sta/book_recommander
A7medM0sta/brazilian-ecommerce-ml
This project showcases a comprehensive data analysis and prediction pipeline using Python, R, and SQL. The focus is on sentiment analysis and stock market prediction, involving multiple tasks, from data exploration to predictive modeling.
A7medM0sta/QQ_Similarity
Build a Web Interface to Check Question Similarity Using Machine Learning and Deep Learning with Quora Datasets
A7medM0sta/web_scaping_projects
Scapring some data from websites using different methods such selenium & beautifulsoup