Experienced Software Engineer pursuing a Master's in AI and Data Science from DIT, Germany.
I have over 2 years experience in data analytics and full-stack web development.
PYTHON | MACHINE LEARNING | DATA ANALYTICS | FULL STACK WEB DEVELOPER
Name: Sami Sayed
Type: User
Bio: Pursuing Master's in AI and Data Science from DIT, Germany
Experienced Software Engineer pursuing a Master's in AI and Data Science from DIT, Germany.
I have over 2 years experience in data analytics and full-stack web development.
PYTHON | MACHINE LEARNING | DATA ANALYTICS | FULL STACK WEB DEVELOPER
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Developed an automated classification system for melanoma detection using TensorFlow and Convolutional Neural Networks (CNN), integrating patient-level data with image processing, and deployed with Docker for scalable clinical use.
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
A simple inventory management system (terminal) for a book store, with the ability to add/edit/remove records of books and customer transactions.
Cheat Sheets
Developed a multi-class classification system to detect malicious URLs using lexical features and boosting algorithms (XGBoost, Light GBM, Gradient Boosting Machines), leveraging Pandas and Sklearn for data processing and model training.
Face Recognition refers to identifying a face in a given image and verifying the person in the image. They are used in a wide range of applications, including but not limited to: User Verification, Attendance Systems, Robotics and Augmented Reality. With the growth in applications, we are likely to see great development in the field.
Developed a prediction model for the 2018 FIFA World Cup Russiaβ’ group stage by scraping historical data from 1994 to 2014 using Python, BeautifulSoup, and Requests, followed by comprehensive data analysis with Pandas.
:zap: Dynamically generated stats for your github readmes
A TensorFlow model categorizes images into multiple classes, processing and training in batches from Google Drive. It evaluates using random batches, storing all metrics in history for analysis, optimizing memory use and allowing iterative model updates.
Work and exercises related to AI and machine learning models and alogrithms applied on datasets and output in terms of metrics and graphs
Projects based on machine learning models and algorithms using python and R language. Published for the purpose of displaying knowledge and experience in this domain.
multimodal autoencoders(MAE) is used to predict different clinical status of breast cancer patients based on multiplatformic genomics data. The MAE is trained with genomics data such as DNA methylation, gene expression, miRNA expressionfrom, and clinical outcomes from The Cancer Genome Atlas(TCGA).
Python project on sentiment analysis using text vectorization with one-hot encoding and embedding
Dynamically adjusting irrigation schedules based on predictive models of weather patterns and soil moisture content.
Developed a tool to encode text using BERT from Hugging Face and visualized embeddings with UMAP and t-SNE, leveraging PyTorch for model operations and Pandas for data processing, enabling semantic similarity mapping with large language models (LLMs).
Time series analysis involves the use of statistical techniques to analyze and model data points collected at successive intervals.
Multi-agent system that simulates traffic in an intersection.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.