approximate bayesian computing with population monte carlo
Tools to apply active subspaces to analyze their models and data.
Fast, transparent first- and second-order automatic differentiation
Automatic Differentiation for Python
ADPY is a Python library for algorithmic differentiation
aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)
To calculate affine transformation parameters with six free parameters.
aima -- Artificial Intelligence, A Modern Approach, by Stuart Russell and Peter Norvig
This Decimal math library will add additional trig and math functions to the decimal.py module in python.
A Data Algebra™ library for database management and computer modeling
Numerical base converter, allowing arbitrary floating point precision and conversion between any integer bases
AlphaPy: A Machine Learning Pipeline for Speculators
Python graph (network) package
Planar angle mathematics library for Python.
A differentiable programming for scientists
Server anomaly detection.
Automated Neural-graph Toolkit: A Tensorflow wrapper for common deep learning tasks and rapid development of innovativemodels. Developed at Hutch Research, Western Washington University.Support for multiple input and output neural network graphs. Model visualizations and extensively documented interface. Explore tensorflow functionality and deep learning fundamentals.
Aptus: A Mandelbrot set explorer and renderer.
Simple Apriori algorithm Implementation.