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Abhi Kolhe's Projects

amazon-bedrock-samples icon amazon-bedrock-samples

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all availble foundational models

consentcrawl icon consentcrawl

Automatically check for GDPR/CCPA consent by running a Playwright headless browser to check for marketing and analytics scripts firing before and after consent.

h2ogpt icon h2ogpt

Private Q&A and summarization of documents+images or chat with local GPT, 100% private, Apache 2.0. Supports LLaMa2, llama.cpp, and more. Demo: https://gpt.h2o.ai/

kubernetes-bigquery-python icon kubernetes-bigquery-python

Example Kubernetes app that shows how to build a 'pipeline' to stream data into BigQuery. Uses Redis or Google Cloud PubSub

lightweight_mmm icon lightweight_mmm

LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

oculi icon oculi

A Google Cloud-based pipeline for tagging image and video ads based on their content, enabling advanced creative analysis.

python icon python

This repository helps you understand python from the scratch.

robyn icon robyn

Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) code from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset.

slackalytics icon slackalytics

A textual analytics bot for the Slack Communication App

twitter-sentiment icon twitter-sentiment

A Trax deep neural network sentiment analysis model on Twitter's 50 Trending Topics deployed and automated every hour on the Google Cloud Platform which is then viewed as a dashboard on Google Data Studio.

vertex-ai-mlops icon vertex-ai-mlops

Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations

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