samisayed0611 Goto Github PK

autogpt

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.

automated-skin-cancer-classification-system

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.

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

bookstore-inventory-system

A simple inventory management system (terminal) for a book store, with the ability to add/edit/remove records of books and customer transactions.

data-preprocessing-models

data-science--cheat-sheet

Cheat Sheets

detection-of-malicious-urls-using-lexical-features

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-using-python-and-opencv-

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.

fifa-world-cup-group-stage-prediction

Developed a prediction model for the 2018 FIFA World Cup Russia™ group stage by scraping historical data from 1994 to 2014 using Python, BeautifulSoup, and Requests, followed by comprehensive data analysis with Pandas.

github-readme-stats

:zap: Dynamically generated stats for your github readmes

image-classification-multiclass

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.

learning_ai_ml

Work and exercises related to AI and machine learning models and alogrithms applied on datasets and output in terms of metrics and graphs

machine_learning_projects

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.

nodejs_projects

prediction-of-breast-cancer-using-multimodal-autoencoders

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).

samisayed0611

sentiment-analysis-using-text-vectorization-and-one-hot-encoding

Python project on sentiment analysis using text vectorization with one-hot encoding and embedding

smart-irrigation-scheduling-for-agriculture

Dynamically adjusting irrigation schedules based on predictive models of weather patterns and soil moisture content.

text-encoding-and-visualization-with-bert

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).

text-generation-with-a-bidirectional-lstm

time-series-analysis-for-air-quality-index--aqi-

Time series analysis involves the use of statistical techniques to analyze and model data points collected at successive intervals.

urban-mobility-multi-agent-simulation

Multi-agent system that simulates traffic in an intersection.