Learning in infinite dimension with neural operators.

• UpdatedMar 13, 2025
• Python

This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs

• UpdatedOct 15, 2024
• Python

Set of PowerShell scripts to maintain D365FFO (Dynamics 365 for Finance and Operations)

• UpdatedFeb 27, 2025
• PowerShell

Library to collect NSE data in pandas dataframe

• UpdatedFeb 3, 2025
• Python

An option payoff visualizer that allows you to add and customize strategies and visualize their payoffs. Site built with React, Material UI and D3.

• UpdatedNov 30, 2023
• JavaScript

Distributed Fourier Neural Operators

• UpdatedSep 20, 2022
• Python

NodeLab is a simple MATLAB-repository for node-generation and adaptive refinement for testing, and implementing various meshfree methods (including physics-informed neural networks, PINNs and DeepOnet) for solving PDEs in arbitrary domains.

• UpdatedFeb 12, 2025
• MATLAB

Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators

• UpdatedSep 25, 2024
• Julia

A simple real-time Open Interest & Strategy Profit and Loss Visualizer for Indian Benchmark Indices and F&O Stocks inspired by Sensibull. The app is built with React, Material UI, D3 and Node.

• UpdatedNov 16, 2024
• TypeScript

This repository contains the machine learning projects completed for the class "Deep Learning in Scientific Computing" taught at ETH jointly by Siddhartha Mishra and Benjamin Moseley in Spring 2024. The description of the tasks can be found in the PDFs.

• UpdatedApr 7, 2024
• Jupyter Notebook

RML-FNML: Transformation functions within RML

• UpdatedMar 3, 2025
• HTML

Using Finvasia Shoonya api for NSE, BSE, NFO trading using php

• UpdatedJan 7, 2023
• PHP

A comprehensive dashboard for monitoring stocks, including equities and futures and options (F&O) instruments

• UpdatedJul 12, 2024
• Python

FnO Trading Bot in Typescript.

• UpdatedSep 12, 2023
• TypeScript

My solutions for the Artifficial Intelligence for Scientific Computing class at ETH Zurich

• UpdatedAug 12, 2024
• Jupyter Notebook

Code for master thesis: "Estimating the Permeability of Porous Media with Fourier Neural Operators"

• UpdatedDec 12, 2024
• Python

The deployed web app of HistoricalOptions.in

• UpdatedNov 7, 2024
• JavaScript

SEmantically DEscribed MIni FUnction LIbrary(SeMiFuLi), using FNO for the description in RDF

• UpdatedNov 9, 2023
• Java

These works are under Prof. Akshay Joshi, Mechanical Engineering Dept., IISc Bangalore. On FNOs (Fourier Neural Networks) in multi-dimensions for material property analysis, in different circumstances.

• UpdatedDec 28, 2024
• Jupyter Notebook