Raj Pulapakura's Projects
A bunch of AI test apps (in different branches)
This repo features an analysis on various basketball players, using unsupervised learning techniques.
my blog website
Interactive Data Visualization in the browser, from Python
Implemented the Byte-Pair-Encoding sub-word tokenization algorithm
Build a beautiful, organised Graphql API with Typescript and Typeorm support, and pre-built examples, all with a single command!
Build a beautiful, organised, microservice-like Graphql API with a single command!
Build a simple REST API with NodeJS and Express, with Typescript support baked in, all with one command!
Image Segmentation - Cars dataset
It's a memory game that involves flipping cards
A chat website where you can create a room, invite your friends, and chat together!
Churn Prediction Model with EDA, Feature Engineering and testing out different models. Based on a kaggle notebook.
Easily enhance brain MRI Scans and diagnose lower grade glioma tumors using Deep Learning.
AI-powered attendance
Comment toxicity classification model, with a neat website interface!
This project is waiting for your contribution. If you have never contributed code on GitHub before, this is the project to get you started.
devFind is an open source project that aims to create a platform for developers to showcase their skills and connect with potential collaborators, all in a user-friendly and searchable format.
The classic dino game, except its controlled by your hand! Powered by TensorFlow, OpenCV and PyGame.
English to French Machine Translation using the Encoder-Decoder architecture with Multi-headed Attention
My implementation of Andjrey Karpathy's "Neural Networks: Zero to Hero" series
My Fork of the Guess-O-Rama app
Portfolio website for Hackiethon 22!
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Regression model for predicting house prices of residential homes in Ames, Iowa. Dataset contains 79 explanatory variables. Project includes key topics such as dataset cleaning, feature selection/engineering, EDA and applying grid search to find the best model.
Various NLP tasks such as Translation, Summarization, QA and Token Classification, built with HuggingFace
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My leetcode solutions
I built a Linear Regression model which uses Gradient Descent to optimize parameters, from scratch