90 Open source projects that are alternatives of or similar to mta

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

✅ A checklist of things to do before releasing your project

advertools - online marketing productivity and analysis tools

🦘 The Grouparoo Monorepo - open source customer data sync framework

Simple and beautiful open source Analytics 📊

💰 Popular marketing tools and add-ons used by 10,000+ of the top e-commerce stores.

Send email campaigns using Laravel

EcommerceTools is a Python data science toolkit for ecommerce, marketing science, and technical SEO analysis and modelling and was created by Matt Clarke.

Nextly Landing Page Template built with Next.js & TailwindCSS

It is a python script to send automated bulk WhatsApp messages to multiple recipients from an excel sheet at once.

Instagram automation library to perform likes, comments, follow, story viewing and much more.

Play is free and open source Tailwind CSS template for - Startup, SaaS, Apps, Business and More. It comes with a high-quality design and all essential components & pages you need to launch a complete website.

A data-driven tool to identify the best candidates for a marketing campaign and optimize it.

Nimrod is a lead generation bot that helps you find the emails of people you want to reach out to.

A landing page made with tailwindcss and the new Gradient feature.

Questions and support for Mailcoach

Reverse Caller Id using TrueCaller

An open source book on Python tailed for communication students with zero background

The startup founder toolbelt. A forever-updating crowdsourced collection.

Automate common Facebook activities such as posting to groups and pages walls. Effortlessly post to multiple groups or pages.

Brand Guideline for the Ballerini Community

A quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.

A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.

Materials of the Nordic Probabilistic AI School 2021.

Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)

A game theoretic approach to explain the output of any machine learning model.

A lightweight implementation of removal-based explanations for ML models.

Fast approximate Shapley values in R

Explaining the output of machine learning models with more accurately estimated Shapley values

For calculating global feature importance using Shapley values.