Pinned Repositories
MoRT
Movie Recommender Technology Chatbot
attrition-prediction
Predicts the likelihood of employee attrition based on certain parameters.
docs
OpenML documentation
HacktoberFest24
Welcome to Hacktoberfest 2024 at Hackspace! Join us in celebrating open source by contributing to projects, submitting pull requests, and collaborating with a global community. Whether you're a beginner or a pro, there’s a place for everyone. Let’s build something great together this Hacktoberfest!
image_encryption
Encrypt and decrypt images using chaotic maps: logistic, tent and sine maps (1-dimensional), henon and standard maps (2-dimensional). Additionally: separate RGB channels of an image, test separated channels. Put salt and pepper noise in plain image. Plot histogram and correlation plots for all these.
MSClub-Hacktoberfest
Repository for Hacktoberfest 2024 contributions. Beginner-friendly Python projects
nano_jsGPT
An LLM trained on JavaScript's official documentation, using NanoGPT's architecture.
portfolio
A simple portfolio website using HTML, CSS, and Flask.
posthoc-xai
Demonstrates the use of post-hoc explainability techniques on Splice DNA dataset.
Python
All Algorithms implemented in Python
Y-Srivaishnavi's Repositories
Y-Srivaishnavi/image_encryption
Encrypt and decrypt images using chaotic maps: logistic, tent and sine maps (1-dimensional), henon and standard maps (2-dimensional). Additionally: separate RGB channels of an image, test separated channels. Put salt and pepper noise in plain image. Plot histogram and correlation plots for all these.
Y-Srivaishnavi/attrition-prediction
Predicts the likelihood of employee attrition based on certain parameters.
Y-Srivaishnavi/nano_jsGPT
An LLM trained on JavaScript's official documentation, using NanoGPT's architecture.
Y-Srivaishnavi/portfolio
A simple portfolio website using HTML, CSS, and Flask.
Y-Srivaishnavi/posthoc-xai
Demonstrates the use of post-hoc explainability techniques on Splice DNA dataset.
Y-Srivaishnavi/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
Y-Srivaishnavi/serverless-app-aws
Testing the serverless functions offered by AWS: Lambda, DynamoDB, Amplify
Y-Srivaishnavi/simple_neural_architecture_search
Perform Neural Architecture Search to find the optimal ANN architecture for classification on two datasets: Splice and Human Activity Recognition
Y-Srivaishnavi/spam-mail-detector
This project uses Streamlit to run a simple Logistic Regression ML model to classify mail content (only text, not the sender or attachments) as spam or not spam. The model itself is built using scikit-learn modules, and is imported to the interface using pickle module..
Y-Srivaishnavi/Y-Srivaishnavi
Config files for my GitHub profile.
Y-Srivaishnavi/uci-civil-cs-predict
Simple regressor model.