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Abhishek M Shivalingaiah's Projects

ai-economist icon ai-economist

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

aiot icon aiot

Cutting-Edge Artificial Intelligence on the Jetson Nano used to decode Brain Waves (EEG) on the Edge

applied-ml icon applied-ml

📚 Papers & articles of companies sharing their work on applied data science & machine learning.

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

aws-media-insights-engine icon aws-media-insights-engine

A serverless framework to accelerate the development of applications that discover next-generation insights in your video, audio, text, and image resources by utilizing AWS Machine Learning and Media services.

aws-mlops-framework icon aws-mlops-framework

The AWS MLOps Framework solution helps you streamline and enforce architecture best practices for machine learning (ML) model productionization. This solution is an extendable framework that provides a standard interface for managing ML pipelines for AWS ML services and third-party services.

cardizer icon cardizer

A collection of python scripts for creating images and xml for custom card games (for use in software such as Cockatrice)

cartoonify icon cartoonify

Deploy and scale serverless machine learning app - in 4 steps.

causalnex icon causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

cca175practicecode icon cca175practicecode

Repository to capture all Practice code and examples for "CCA Spark and Hadoop Developer Certification - Cloudera" (CCA175) Exam.

check icon check

Development environment for Meedan Check, a collaborative media annotation app

chitra icon chitra

chitra (चित्र) is a Deep Learning library for Model Building, Interpretability, Visualization, API Building & Deployment.

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