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

Distributed Fourier Neural Operators

Elastic Full Waveform Inversion using GAN and FNO as Wave Solver

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

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

nops is designed to be an elegant, high-level layer over complex neural operator architectures

Real-time algo-trader for NSE F&O. Built a low-latency pipeline integrating Finvasia Shoonya API (data/execution) with an OpenAI Assistant for minute-by-minute decision-making. Showcases Python, distributed systems, and LLM tool-calling for financial automation.

A comparative analysis of DeepONet and FNO architectures, benchmarking their performance on Function-to-Function (Heat Equation) vs. Parameter-to-Function (Elastic Bar) PDE problems to motivate hybrid operator designs.

Physics-aware neural surrogate for black hole accretion flow (GRMHD-like) using Fourier Neural Operators.

FNO-RC: Fourier Neural Operator with Conformal Residual Coupling for PDEs

Space–time Parareal workflow for the multi-asset Black–Scholes equation by combining dask-based spatial parallelism with a learned Physics-Informed Neural Operator (PINO) coarse propagator.