Arjun Suthaharan's Projects
Portfolio website for Arjun Suthaharan.
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
🔊 Text-Prompted Generative Audio Model
TensorFlow code and pre-trained models for BERT
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
Pytorch-Named-Entity-Recognition-with-BERT
Best Practices, code samples, and documentation for Computer Vision.
A CNN Model for identifying digits of a number based on handwritten images from mnist dataset
Convolutional Neural Network for detecting Pneumonia based on X-Ray scans
A prototype Figma design for a mobile application aimed at providing users with information and resources related to COVID-19.
The Python programming language
CRUD operations performed on Microsoft SQL Server database using stored procedures in a Windows Form Application interface.
A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.
A simple platformer built using Godot 4 and GDScript
Android application allowing for the creation, management and tracking of habits.
All Algorithms implemented in Java
JupyterLab computational environment.
A Kotlin-based Android contact list that utilzes Room local database for data persistence.
Kotlin application utilizing Retrofit for GET API calls
A Kotlin-based Android to-do list that allows users to create tasks that can then be checked off, used for tracking and remembering events.
Style and Grammar Checker for 25+ Languages
Leetcode solutions
Linux kernel source tree
Collection of SQL queries for Microsoft SQL Server for reference
The fundamental package for scientific computing with Python.
OBS Studio - Free and open source software for live streaming and screen recording
Curated list of project-based tutorials
A multi classification machine learning model utilizing PyCaret to generate 15 unique machine learning models to predict quality level of the wine given various inputs.