An PyTorch AI that uses company social media marketing data to predict that company's stock changes

Documentation from my PhD thesis in hydrodynamic cosmological simulations.

A Dask powered HPC/cloud friendly interface for BridgeStan, CmdStanPy, and PyStan

ParallelCryptography harnesses high-performance computing to optimize cryptographic algorithms. Explore our subprojects for parallel encryption, decryption, hashing, and more. Secure your data efficiently with the power of parallel computing.

Simulation program of physical processes in Jiangmen Underground Neutrino Observatory (JUNO).

Analysing Twitter data to obtain sentiment of different blocks in Melbourne

Example code related to a blog post, Fast Data: Loading Tables From S3 At Lightning Speed

A framework for using High Performance Computing applications as serverless functions. (FaaS)

Explore PyTorch Dataloader, profiling machine learning training workloads and optimizing system performance

Calculating half mass radius of dark matter halos.

This folder contains the code written for the internship project "High performance large-scale regression" developed at The Alan Turing Institute during summer 2018.

Jobspec specification and translation layer for cluster work

Repository for suppelementary material from my publications on the entropy core problem

Cutting-edge codes & resources for parallel computing, optimized algorithms, and efficient data processing in CUDA, OpenCL and OpenMP.

This repository contains scripts for our project to analyze wikipedia edits using python and HPC

ATLAS is a sophisticated real-time risk analysis system designed for institutional-grade market risk assessment. Built with high-frequency trading (HFT) capabilities and advanced machine learning techniques, ATLAS provides continuous volatility predictions and risk metrics using both historical patterns and real-time market data.

Simulation of a bimodal two-level single branch/jump predictor, implemented in Python, for High Performance Processors (2022-23).

Files for SWMF inputs and plotting codes used to visualize outputs.

Distributed multicomponent lineshape fitting routines and benchmarks for multidimensional spectroscopy and spectral imaging