A general purpose recommender metrics library for fair evaluation.

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Brazilian companies' financial reports directly from the CVM and B3 servers.

Survival analysis with PyTorch

A backtester and spreadsheet library for stocks and ETFs

An open-source, low-code machine learning library in Python

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

A toolkit for developing and comparing reinforcement learning algorithms.

A Python implementation of global optimization with gaussian processes.

🔎 📈 🐍 💰 Backtest trading strategies in Python.

Python Backtesting library for trading strategies

Trading with recurrent actor-critic reinforcement learning

Data Apps & Dashboards for Python. No JavaScript Required.

A project for training participants to collaborate using GitHub.

Hydra is a framework for elegantly configuring complex applications

Bidirectional UTM-WGS84 converter for python

Portuguese pre-trained BERT models

Code, slides, and documentation for the talks I have given.

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Code for "High-Precision Model-Agnostic Explanations" paper

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …

Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

Lime: Explaining the predictions of any machine learning classifier

Distributed Evolutionary Algorithms in Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoo…

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

This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.