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Retail banking sample application showcasing Kubernetes and Google Cloud
OpenRadioss is a powerful, industry-proven finite element solver for dynamic event analysis
DIY commercial datasets on Google Cloud Platform
Generate certificate suitable for use with any Kubernetes Mutating Webhook.
An inexpensive, autonomous, regolith-mining robot
Using Google Cloud, this project is an example of how to detect anomalies in financial, technical indicators by modeling their expected distribution and thus inform when the Relative Strength Indicator (RSI) is unreliable.
A highly available, 0-RPO FIX client and server implementation, used to demonstrate how stateful, long-lived processes can be created and managed easily with AWS managed services.
In this solution, we offer a novel approach to sustainable finance by combining NLP techniques and news analytics to extract key strategic ESG initiatives and learn companies' commitments to corporate responsibility
Kubernetes metadata injection for New Relic APM to make a linkage between APM and Infrastructure data.
preCICE-adapter for the CFD code ANSYS Fluent (currently unmaintained)
PERIGEE is a finite element code for multiphysics analysis
Curated list of some open source codes employing isogeometric analysis (IGA)
Translating text attributes (like name, address, phone number) into quantifiable numerical representations Training ML models to determine if these numerical labels form a match Scoring the confidence of each match
Ingest sample retail data, build visualizations to explore past purchase behavior and use machine learning to predict the likelihood of future purchases
Perform fine-grained forecasting at the store-item level in an efficient manner, leveraging the distributed computational power of the Databricks Lakehouse Platform.
Use Databricks to improve the Claims Management process for faster claims settlement, lower claims processing costs and quicker identification of possible fraud
Fluid Structure Interaction Solvers (with OpenFOAM frame)
Shows how banks can modernize their risk management practices by back-testing, aggregating and scaling simulations by using a unified approach to data analytics with the Lakehouse.
A modular shared-memory high-performance framework for multiscale cardiac multiphysics simulations.
Preempt fraud with rule-based patterns and select ML algorithms for reliable fraud detection. Use anomaly detection and fraud prediction to respond to bad actors rapidly.
Equity Beta Calculation and CAPM
Asset Prediction Sagemaker Pipelines Example
Using Apache tika and tesseract to extact text from any document
Sample codes, guides and starter kits for Microsoft Cloud for Financial Services' products.
Structural Wing Model Reduction in Fluid-Structure Interactions
This series of notebooks shows how the Lakehouse for Financial Services enables banks, open banking aggregators and payment processors to address the challenge of merchant classification
Example scripts for the Python scripting API of the SimVascular FSI simulation tool wrote during Summer 2019 and Summer 2020 internships @ Stanford CBCL.
OpenRadioss is a powerful, industry-proven finite element solver for dynamic event analysis
In this series of notebooks centered around geospatial analytics, we demonstrate how Lakehouse enables organizations to better understand customers behaviours, no longer based on who they are, but how they bank, no longer using a one-size-fits-all rule but a truly personalized AI