aliha

aliha

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amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

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clang-power-tools

Bringing clang-tidy magic to Visual Studio C++ developers.

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cppcheck-vs-addin

Visual Studio integration for cppcheck, an open-source static code analyzer for C++

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deap

Distributed Evolutionary Algorithms in Python

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exprtk

C++ Mathematical Expression Parsing And Evaluation Library

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flacco

Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems

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googletest

Google Test

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gramps

Source code for Gramps Genealogical program

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HPOlib

HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization packages: SMAC, spearmint and hyperopt. This package is discontinued, please read the longer note in the info box below.

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jsoncpp

A C++ library for interacting with JSON.

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K-scope

Fortran source code analysis tool

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log4cplus

log4cplus is a simple to use C++ logging API providing thread-safe, flexible, and arbitrarily granular control over log management and configuration. It is modelled after the Java log4j API.

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mapnificent

Mapnificent shows you areas you can reach with public transport in a given time.

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openvdb

OpenVDB Development Repository

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pix2pix

Image-to-image translation with conditional adversarial nets

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pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

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pixel-cnn

Python3 / Tensorflow implementation of PixelCNN++, as described in "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

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python-driver

DataStax Python Driver for Apache Cassandra

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RoBO

RoBO: a Robust Bayesian Optimization framework

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rootless-logcat

Android Logcat app without Root

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smile

Statistical Machine Intelligence & Learning Engine

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spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

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spgrid_topo_opt

Narrow-Band Topology Optimization on a Sparsely Populated Grid, ACM Transactions on Graphics (SIGGRAPH Asia 2018)

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Steady-State-Flow-With-Neural-Nets

A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation

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tetgen

This is a mirror of the latest stable version of Tetgen.

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