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Rod Rivera's Projects

rudder-transformer icon rudder-transformer

Open-source, warehouse-first Customer Data Pipeline and Segment-alternative. Collects and routes clickstream data and builds your customer data lake on your data warehouse.

skoltech-dl-project icon skoltech-dl-project

Skoltech Deep Learning course 2020 project - Convolutional RNNs for Portfolio Investments of Cryptocurrencies using Order Book Data

sql-translator icon sql-translator

SQL Translator is a tool for converting natural language queries into SQL code using artificial intelligence. This project is 100% free and open source.

sql_analytics icon sql_analytics

Repository with a collection of business intelligence and analytics sql scripts for common analysis tasks in e-commerce.

statlearning-notebooks icon statlearning-notebooks

Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).

streamdrill-core icon streamdrill-core

streamdrill core with the exponential decay trend and some helper functions to store and load the data

supplychainpy icon supplychainpy

Supplychainpy is a Python library for supply chain analysis, modelling and simulation. The library assists a workflow that is reliant on Excel and VBA.

swift icon swift

Swift for TensorFlow Project Home Page

timesynth icon timesynth

A Multipurpose Library for Synthetic Time Series Generation in Python

topologylayer icon topologylayer

A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch

tracardi icon tracardi

TRACARDI is a new HOME for your customer data. TRACARDI is an API-first solution, low-code / no-code platform aimed at any e-commerce business that wants to start using user data for marketing purposes.

tracktis icon tracktis

Grails project for tracking cellphones using LBS

vae-gmvae icon vae-gmvae

This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures

vectorhub icon vectorhub

VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.

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