Search Results for "optimization" - Page 13
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Showing 339 open source projects for "optimization"
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Deep Learning with Keras and Tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow. To date tensorflow comes in two different packages, namely tensorflow and tensorflow-gpu, whether you want to install the framework with CPU-only or GPU support, respectively. NVIDIA Drivers and CuDNN must be installed and configured before hand. Please refer to the official Tensorflow documentation for further details. Since version 0.9 Theano introduced the libgpuarray in the stable release (it was previously only available in... -
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Solid Python
A comprehensive gradient-free optimization framework written in Python
Solid is a Python framework for gradient-free optimization. It contains basic versions of many of the most common optimization algorithms that do not require the calculation of gradients, and allows for very rapid development using them. -
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Neural Photo Editor
A simple interface for editing natural photos
Neural Photo Editor is an experimental machine learning application that demonstrates how generative neural networks can be used as an interactive photo editing tool. The project implements the system described in the research paper Neural Photo Editing with Introspective Adversarial Networks, which introduces a generative model capable of modifying images in semantically meaningful ways. Instead of editing images by directly manipulating pixels, the software allows users to influence... -
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QSdpR
Viral Quasispecies Reconstruction software based on QSdpR algorithm
This is a viral quasispecies reconstruction software for quasispecies assembly problem on mRNA viruses, which is based on a correlation clustering approach and uses semidefinite optimization framework. The software accepts a reference genome, a NGS read set aligned to this reference and set of SNP locations in the form of a vcf file and outputs an optimal set of reconstructed species genomes which describes the underlying viral population. -
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MoCObench
Benchmark instances for multiobjective combinatorial optimization
Benchmark instances for multiobjective combinatorial optimization -
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node2vec
Learn continuous vector embeddings for nodes in a graph using biased R
The node2vec project provides an implementation of the node2vec algorithm, a scalable feature learning method for networks. The algorithm is designed to learn continuous vector representations of nodes in a graph by simulating biased random walks and applying skip-gram models from natural language processing. These embeddings capture community structure as well as structural equivalence, enabling machine learning on graphs for tasks such as classification, clustering, and link prediction.... -
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Souper
A superoptimizer for LLVM IR
...Souper can operate in multiple modes: as a standalone analysis tool that extracts and solves SMT queries from LLVM bitcode, or as an LLVM optimization pass that applies discovered optimizations directly to the IR. It integrates seamlessly with Clang and LLVM tools and supports caching mechanisms (RAM or Redis) to accelerate repeated analyses. The system can output suggested rewrites for developers or automatically apply transformations, helping compiler engineers improve optimization passes. -
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LeapFrog Optimizer
Open Source Optimizing Algorithm Written in Python
name: leap frog optimizer version: 0.5 ALPHA author: Mark Redd email: redddogjr@gmail.com written for python version: 2 optimizer algorithm website: http://www.r3eda.com/ about: This optimizer was written based on the algorithm published by Dr. R. Russell Rhinehart. A full explanation of the algorithm can be found at the following URL: http://www.r3eda.com/leapfrogging-optimization-algorithm/ The following are "key references" published on the optimization website explaining the technique: - Rhinehart, R. R., M. Su, and U. Manimegalai-Sridhar, “Leapfrogging and Synoptic Leapfrogging: a new optimization approach”, Computers & Chemical Engineering, Vol. 40, 11 May 2012, pp. 67-81... -
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ProtPOS
Prediction of PROTtein Preferred Orientation on a Surface
...It searches quickly for the low energy protein poses in all translational and rotational degrees of freedom of the protein with respect to the surface using particle swarm optimization. Each successful run returns the lowest energy orientation of the protein on the surface in PDB format, which is readily used for MD simulations. ProtPOS is implemented in Python, making use of the PyMOL library for generating protein conformations and calling GROMACS externally to calculate protein-surface interaction energies. ... -
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Template Code Set for JModelica
This is a template Python code set to use JModelica easily.
...The template includes a sample model definition file (opt_definition.mop) and a .bat file (run_me.bat) to start its calculation. After download the template, immediately you can run JModelica by only double-clicking run_me.bat file, and obtain the optimization result. Please go to the page given below for the information of how to start to use this and its details. -
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This is a sophisticated & integrated simulation and analysis environment for dynamical systems models of physical systems (ODEs, DAEs, maps, and hybrid systems). It supports symbolic math, optimization, continuation, data analysis, biological apps...
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Gimp Gradient Extrapolate
fill a selection according to neighboring gradient area
...It fills gaps or removes objects, both of which are surrounded by a gradient like smooth image structure (e.g. sky). Refer to the wiki to see how to use it. Note, since this plug-in is written in python and involves optimization problems and non-filter operations, this script's runtime can be rather long, depending on the size of your image selection. Consider donating to this project: https://sourceforge.net/projects/gimp-g-e/donate -
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Neural Libs
Neural network library for developers
...The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network. -
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OverView
Optimization and visualization tool for CFD.
OVERVIEW is a framework for optimization that integrates the visualization of complex fluid solutions and geometries taking advantage of the high performance and cutting edge rendering techniques of modern graphic cards. -
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PyGAO
Genetic Algorithm Optimization for Python
A simple interface for performing genetic algorithm optimization for numerical problems. I am starting with a stripped-down version, where a solution can be described using a single vector of float numbers. Eventually, I will expand to more generic data structures and add multiple-species search options. For the time being, I have no plans of developing a GUI. For now, this is strictly a computational module. -
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Math tools in Python to tackle down problems in Operational Research fields. Comes with a Django based web interface to allow remote access to complex simulation means.
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A Blender 3D addon for exporting 3D objects to Dark Engine (BIN) format. Works with Dromed 1/2 for Thief The Dark Project/GOLD/Thief 2 The Metal Age.
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caseGen
... [BATCH], [ANALYZE] and [OPTIMIZE] cases in OpenFOAM and others
'caseGen' allows you to simplify your numerical simulation problem! Actual its not fairly tested so please contact me if you see any refinements or found bugs. -
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paranoia auto-backup
paranoia,auto-backup,libre, free, gnu/gpl3
...The idea of this program is to prevent the loss of important data that can be removed easily, making a backup (compressed as Tarball .tgz) each a definite time. It also has other settings for the best adaptation to their circumstances [09 - 27 - 2012] For debugging, optimization and changes in the program functions will be rewritten from 0. The language will be C++ libraries gtkmm or QT In this new version will be presented with improvements in the code, providing more choice and use. Until that date, be retained as a last stable 0.4.11 (written in python with gtk+), which will remain unchanged. ... -
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PyVocabularyTree
A vocabulary tree for image classification using OpenCV
A vocabulary tree for image classification have been designed to be integrated in mobile robotic applications. It is a learning schema based on decission trees, bags of features and inverted files. The design provides training and optimization parameters that have been characterized using several detectors and descriptors for several input datasets. Evaluation tests performed on public image databases allow to compare obtained results with previously published literature. All the tools and resources used in this project are Open Source licensed. -
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Stanford Machine Learning Course
machine learning course programming exercise
The Stanford Machine Learning Course Exercises repository contains programming assignments from the well-known Stanford Machine Learning online course. It includes implementations of a variety of fundamental algorithms using Python and MATLAB/Octave. The repository covers a broad set of topics such as linear regression, logistic regression, neural networks, clustering, support vector machines, and recommender systems. Each folder corresponds to a specific algorithm or concept, making it easy... -
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PyOptimization
Some optimization functions writen in Python with GUI
Some optimization functions writen in Python with GUI. Libraries used are PyQt, PyOpenGL, SymPy, Boost. Work on Windows and Linux. It can draw functions and steps of optimization so it have mostly educational purpose. -
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We here present a novel computer algorithm, called AutoClickChem, capable of performing many click-chemistry reactions in silico. In silico modeling of click-chemistry products may prove useful in rational drug design and drug optimization.
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Tidal Analysis Program in PYthon (TAPPY) uses the least squares optimization function from scipy to perform a harmonic analysis (calculate amplitude and phases of a set of sine waves) of a hourly time series of water level values.
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Implementation of Artificial Inteligence algorithms in python: - Ant Colony Optimization - Greed Algorithm