97 Components & Libraries
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Creating finite volume equation systems with ease. pyfvm provides everything that is needed for setting up finite volume equation systems.The user needs to specify the finite volume formulation in a …
Creating finite volume equation systems with ease. pyfvm provides everything that is needed for setting up finite volume equation systems. The user needs to specify the finite volume formulation in a…
Codes: With you can access Gmsh's native file writer. pygmsh can optimize existing meshes, too. You can also use the command-line utility To run the pygmsh unit tests, check out this repository and …
For more information, see: Current status: All packages were tested on Ubuntu 16.04 (x86_64). You can also install it locally: We can check restrictions on code using a SMT solver. For instance, supp…
Install xonsh from pip: The xonsh shell is developed by a community of volunteers. There are a few ways to help out: We welcome new contributors!
These series of tutorials on Data Science engineering will try to compare how different concepts in the discipline can be implemented in the two dominant ecosystems nowadays: R and Python. We will do…
A modern, enterprise-ready business intelligence web application. Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intellige…
TPOT will automate the most tedious part of machine learning by intelligently exploring thousands of possible pipelines to find the best one for your data. Once TPOT is finished searching (or you get…
There are various mesh formats available for representing unstructured meshes. meshio can read and write all of the following and smoothly converts between them: Install with one of with any of the …
Framework to capture the dynamics of high-frequency limit order books. In this project I used machine learning methods to capture the high-frequency limit order book dynamics and simple trading strat…
By Stephen Chavez & Specter I don't know what happened, but can2RNET has gotten a lot of attention lately. It's a good thing. However, various people forked my project and done different things o…
Automated machine learning for production and analytics auto_ml is designed for production. Here's an example that includes serializing and loading the trained model, then getting predictions on sing…
CGAL generates 2D meshes from linear constraints. You can write the mesh with pygalmesh provides out-of-the-box support for balls, cuboids, ellipsoids, tori, cones, cylinders, and tetrahedra. Try fo…
Identify connection of sessions for social engineering attacks. ========== It is the first framework to keep track of victims through social support live attacks. This tool was created by the inspira…
PyEcore allows you to handle models and metamodels (structured data model), and gives the key you need for building MDE-based tools and other applications based on a structured data model. It support…
A collection of different Machine Learning models predicting the time series, concretely the market price for given the currency chart and target. Tested with python versions: 2.7.14, 3.6.0. By defau…
on your machine and you're good to go. For univariate ("one-dimensional") integrals, every new iteration contains one function. For bivariate ("two-dimensional") domains, every level will contain on…
Install with pip You can install add-ons individually or all at once by running: Below is an example of using Deep Feature Synthesis (DFS) to perform automated feature engineering. In this example, w…
People tracker on the Internet: Learn to track the world, to avoid being traced. Session recognition is one of trape most interesting attractions, since you as a researcher can know remotely what ser…
Chromepass is a python-based console application that generates a windows executable with the following features: The new client build methodology practically ensures a 0% detection rate, even withou…
Building an accurate machine learning model requires several important steps. One of the most complex and time consuming is extracting information through features. Finding the right features is a cr…
Summing up values in a list can get tricky if the values are floating point numbers; digit cancellation can occur and the result may come out wrong. A classical example is the sum which, given a len…
Several mesh smoothing/optimization methods with one simple interface. optimesh on your machine and you're good to go. Example call: The left hand-side graph shows the distribution of angles (the gr…
With Dagster, you declare—as Python functions—the data assets that you want to build. Dagster then helps you run your functions at the right time and keep your assets up-to-date. Here is an example o…
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