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Managed Compiler Infrastructure
Analyzed about 2 hours ago
The Managed Compiler Infrastructure is a modern and intuitive compiler back end for managed languages.
Licenses:
mit
WANProxy
W
Analyzed about 17 hours ago
WANProxy is an open source general-purpose TCP proxy with built in support for a standard WAN optimization technique, dictionary compression.
Licenses:
BSD-3-Clause
crass-css
C
Analyzed about 23 hours ago
A CSS utility library for JavaScript
Licenses:
No declared licenses
Algorithm::Evolutionary
A
Analyzed about 6 hours ago
Algorithm::Evolutionary provides classes for performing simple evolutionary computation tasks, including definition of objects from XML and SOAP support. It should be interoperable with other EC libraries using SOAP.
Licenses:
No declared licenses
PEPsal
P
Analyzed about 4 hours ago
PEPsal is an integrated, multi-layer, transparent TCP Performance Enhancing Proxy which splits the connection into two parts, making use of Linux TCP enhancements when sending data, and largely improving performance in links with different characteri
Licenses:
No declared licenses
Master Motor Map (MMMCore)
M
Analyzed about 24 hours ago
Master Motor Map (MMM) is a conceptual framework for perception, visualization, reproduction, and recognition of human motion in order to decouple motion capture data from further post-processing tasks, such as execution on a real humanoid robot. Employing MMM makes it easy to map motions between
Lmfit
L
Analyzed about 21 hours ago
Lmfit provides a high-level interface to non-linear optimization and curve fitting problems for Python. Lmfit builds on Levenberg-Marquardt algorithm of scipy.optimize.leastsq(), but also supports most of the optimization methods from scipy.optimize.
Features:
- Using Parameter objects instead
Licenses:
BSD-3-Clause
Datumbox Machine Learning Framework
Analyzed 43 minutes ago
The Datumbox Machine Learning Framework is an open-source framework written in Java which allows the rapid development Machine Learning and Statistical applications. The main focus of the framework is to include a large number of machine learning algorithms & statistical tests and being able to handle medium-large sized datasets.
Licenses:
apache_2