10 easy steps to simulate in OpenFOAM with docker
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OpenFOAM with docker provides flexibility in terms of OS and is a good place to start without worrying about the installation.
Blog posts
2024
2023
Setting up an Overpass API server with Docker
Published:
A brief overview of setting up an Overpass API server with Docker for OpenStreetMap.
2022
Machine Learning Applied to Stock Market Prediction: A Comparison between LSTM and ESN
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My use-case is focused on stock market price prediction, especially the opening price for a given stock. I haven’t focused too much on the hyperparameter tuning, rather aimed towards building the basic model and comparing some results. Unlike the scientific work, where my network has to predict autonomously provided an initial data, here we have the luxury to get input continuously i.e. by the end of the day we will have all the inputs so that we can guess what will be the opening price tomorrow.
Deep learning on HPC cluster with LSF queue
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This is rather a short documentation to run the TensorFlow jobs on a high performance computing (HPC) cluster which is using LSF.
Getting started with MLFlow with MinIO [In 2022]
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MLFlow, which is opensourced under Apache License 2.0 is a ML lifecycle platform which unify various aspect of ML which can include experimentation i.e. trying out different architectures, model parameters, data preprocessing etc.
First impression with Firebase Realtime Database using Python [and also with Swift for iOS]
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Recently, I’ve experimented with Python and Swift (iOS) SDKs for Firebase and this documentation summerizes the same.
Getting started with Prometheus: Setting up and monitoring a FastAPI based python application
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Prometheus combines a time-series database with an alert trigger mechanism. This document summerizes my experimentation starting from installing with docker and some twicks to see what I can do with it with Python more specifically with FastAPI.
2021
Web app for autoencoder and reservoir computing model of natural convection
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This is an embedded html for an ML app deployed on Heroku.
Efficient and fast map matching with Valhalla
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Valhalla provides an easy-to-use interface to use OpenStreetMap (OSM) data for routing purposes. In this blog post, my focus is on map-matching which is one of the many APIs offered within the Valhalla.
Resources: Data Science, Machine Learning, Python
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This is a (growing) general-purpose list (for my own documentation purpose) of some of the resources which I have found very helpful.
2020
Open source navigation with OpenTripPlanner
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OpenTripPlanner is an open source multi-modal (i.e. walk/car/bicycle/transit/..) trip planner engine written in Java with an easy-to-use executable.
OpenStreetMap: Access, data mining and data manipulation
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OpenStreetMap (OSM) is a wonderful source of geospatial data, constantly growing with the support of amazing volunteers.
Using a REST API in Python and encapsulate with our own with Flask
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For this demo, I am building an API that finds the nearby public toilets from the given coordinates (and radius, if provided) and then gives their distances from the queried point.
Serving interactive geospatial data in browser with Kepler.gl
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Adding Kepler.gl based geospatial visualization in an HTML page.
Interactive Dashboard to track COVID-19 in Rajasthan, India
Published:
An interactive Corona-19 tracking dashboard for Rajasthan.