Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch

Joblib-like interface for parallel GPU computations (e.g. data preprocessing)

A GitHub WebCrawler

PyPOLAR is a Python-based app for analyzing polarization-resolved microscopy data to measure molecular orientation and order in biological samples

A basic malware detector using Machine Learning

A bot designed to answer live trivia game questions.

An IA model that detects whether a given verse is from the Bible or not

A step-by-step guide to master various aspects of Joblib for parallel computing in Python

magic-wormholing pickled objects made simple

Python utility for fetching any historical data using caching. Suitable for news, posts, weather, etc.

Patch joblib to allow nested parallelism

A Proximal Policy Optimization Approach to Detect Spoofing in Algorithmic Trading

A Machine Learning Application that when you provide a comment and in return it predicts you whether it is spam or not.

Real time face detection and recognition integrating with CCTV

O paralelismo no Python é uma técnica que permite a execução de várias tarefas simultaneamente, aumentando a eficiência e a velocidade de processamento.

Using Protocol Buffers and gRPC client-server communication to deploy a scikit-learn joblib exported model.

Advanced Statistics and Predictions API for My Final Project

This is a machine learning project which implements three different types of regression techniques and formulates differences amongst them by predicting the price of a house based on Boston housing Data.