Python AutoML for Trading Systems and Sports Betting
APACHE-2.0 License
State-of-the art Automated Machine Learning python library for Tabular Data
Sequential model-based optimization with a `scipy.optimize` interface
Natural Intelligence is still a pretty good idea.
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
API for predicting the next Bitcoin and Ethereum with machine learning and technical analysis
Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Te...
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and...
Automated Tool for Optimized Modelling
scikit-learn: machine learning in Python
Hierarchical Time Series Forecasting with a familiar API
scikit-activeml: Python library for active learning on top of scikit-learn
Technical and sentiment analysis to predict the stock market with machine learning models based o...
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Expl...
pymc-learn: Practical probabilistic machine learning in Python
A unified framework for machine learning with time series