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amdocs

Using deep learning applied to text analysis, created a model that converts text stories into illustrated stories. Those models resulted in a proof of concept.

code-a-day

Solved CodeWars katas. JavaScript, C and Python.

dbn

Create a dynamic Bayesian networks with constrained base algorithms

eating-apples

ffjord

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

fixrai

Fix to the RAI algorithm

fungi

By using photos of fungi and with computer vision algorithms, I created a method to count the number of fungi in a picture.

india-post-office

Through sequence classification and using post office data, I developed a prediction model for successful package delivery.

kagglebike

Kaggle competition on predict bike demand

keras-retinanet

Keras implementation of RetinaNet object detection.

lmp

Learning lifestyles of a user by is mobility patterns using topic models.

ls_lstm

Identifying and predicting social lifestyles in people's trajectories by neural networks

machine-learning-for-algorithmic-trading-second-edition

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

machine_learning_examples

A collection of machine learning examples and tutorials.

predict_future_sales

The task is to forecast the total amount of products sold in every shop for the test set. Kaggle

pytube

A lightweight, dependency-free Python library (and command-line utility) for downloading YouTube Videos.

retail

Predict demand of new entry of a product

sapir-college

Using students recordes and with calssification methods, I discovered key factors in student acceptance application data to predict student’s success rate in B.A. studies.

ts-statistical-lab

zipline-reloaded

Zipline, a Pythonic Algorithmic Trading Library