Learning in infinite dimension with neural operators.
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Updated
May 22, 2024 - Python
Learning in infinite dimension with neural operators.
This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
Library to collect NSE data in pandas dataframe
Set of PowerShell scripts to maintain D365FFO (Dynamics 365 for Finance and Operations)
Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators
An option payoff visualizer that allows you to add and customize strategies and visualize their payoffs. Site built with React, Material UI and D3.
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.
A simple real-time Open Interest Visualizer for Indian Benchmark Indices and F&O Stocks inspired by Sensibull. The app shows Change in Open Interest and Total Open Interest data, for the selected underlying. The app is built with React, Material UI, D3 and Node.
Using Finvasia Shoonya api for NSE, BSE, NFO trading using php
Neural Operators implemented with JAX and Equinox
FnO Trading Bot in Typescript.
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