The Recommenders repository provides examples and best practices for building recommendation systems, provided as Jupyter notebooks. The module reco_utils contains functions to simplify common tasks used when developing and evaluating recommender systems. Several utilities are provided in reco_utils to support common tasks such as loading datasets in the format expected by different algorithms, evaluating model outputs, and splitting training/test data. Implementations of several...
Aimed towards programming enthusiasts who want to improve algorithm capabilities through LeetCode, containing many algorithm questions. Most of them are real interview questions of Google, Facebook, LinkedIn, Apple, etc. and it always help to sharp our algorithm Skills. Level up your coding skills and quickly land a job. This is the best place to expand your knowledge and get prepared for your next interview.
fPotencia is the fruit of free time and passion for power systems simulation.
After observing the lack of ready-to-implement libraries for power system analisys, and that the existing ones focus on command line workflow, I decided myself to start a project to fill the gap.
Since Power system simulations have started needing to be executed in parallel, the old C-like designs are outdated; modular design is now needed to launch many simulations at the same time based on a base...
This project gives a mathematical parser for converting a simple string expression into a result which can be managed for using in other calculations, all in Java.
Using a couple lines of code, you'll be able to parse complex arithmetic expressions efficiently. This library is powered by Dijkstra's Shuting-yard algorithm.
The library has no dependencies with other external libraries.
Dependency
<dependency>
<groupId>com.google.code.mathparser-java</groupId>
<artifactId>mathparser-java</artifactId>
<version>1.0.0</version>
</dependency>
Expressions supported (Mar/09/2013)
- Arithmetic operations.
...
Implementation of algorithm from paper 'Numerical Approximation of Option Premia in Displaced-Lognormal Heston Models' by A Dickinson. For code: click link under 'Develop' & checkout via svn or click link under Browse Code->SVN & download tarball