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Name: Amit Satpathy
Type: User
Company: Munich Re Canada
Bio: Director, AI Engineering. Proficient in Python, R, C/C++ and Object Oriented Programming.
Location: Toronto, Ontario, Canada
Name: Amit Satpathy
Type: User
Company: Munich Re Canada
Bio: Director, AI Engineering. Proficient in Python, R, C/C++ and Object Oriented Programming.
Location: Toronto, Ontario, Canada
Lab files for AI-102 - AI Engineer
This flask app is a simple personal project (done by Andrew Tan[@a-tanman] and myself) that is meant to make it easier to label/annotate text data for creating datasets for supervised machine learning.
Note: This is a very old Visual 2005 project which has not been tested to work with later versions of Visual Studio. Use at your own risk.
Contains the codes for Discriminative and Robust Local Binary Pattern and Discriminative and Robust Local Ternary Pattern for object recognition developed by me during my PhD studies.
Contains the codes for Extended Histogram of Gradients for object recognition developed by me during my PhD studies.
Demo for GDS 2022 February Webinar
Code for the paper "Language Models are Unsupervised Multitask Learners"
GPT-3: Language Models are Few-Shot Learners
The Code Examples and Notebooks for The Practitioners Guide to Graph Data
A project I did with Land Transport Authority, a statutory board, whose main role is to manage the transportation infra of Singapore which includes public transport like bus and trains. The agency was interested to understand how the bus services were being utilized by commuters during peak hours and if interventions could be introduced to further enhance commuter experience on bus services e.g. shorter waiting time, faster trips with skipping of bus stops etc. This required understanding archetypes of travel patterns by commuters in bus services. This project is an extension of what was previously done here: https://blog.data.gov.sg/fingerprint-of-a-bus-route-73e5be53dcf0
Fit interpretable models. Explain blackbox machine learning.
A solution for resource allocation based on limited constraints
Sentiment Analysis with LSTMs in Tensorflow
Python codes for common Machine Learning Algorithms
ML Pipeline Generator is a tool for generating end-to-end pipelines composed of GCP components so that any customer can easily migrate their local ML models onto GCP and start realizing the benefits of the cloud quickly.
An example MLflow project
workshop materials for the mlopsworld 2020
mlflow workshop material for mlopsworld 2020
Lab files for AI-900: Azure AI Fundamentals
Lab files for Azure Machine Learning exercises
RAPIDS Community Notebooks
This repository contains codes for a project I did where we detect hypermotor seizures in an unsupervised environment.
Best Practices on Recommendation Systems
Python Implementation of Reinforcement Learning: An Introduction
Spark RAPIDS plugin - accelerate Apache Spark with GPUs
This repo describes a supervised approach to text classification using different features and classifiers. This, obviously, is good to use if there is labelled data available.
My version of topic modelling using Latent Dirichlet Allocation (LDA) which finds the best number of topics for a set of documents using ldatuning package which comes with different metrics
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.