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amazon-sagemaker-examples

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

autograd

Efficiently computes derivatives of numpy code.

clang-power-tools

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

cppcheck-vs-addin

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

deap

Distributed Evolutionary Algorithms in Python

evograd

exprtk

C++ Mathematical Expression Parsing And Evaluation Library

flacco

Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems

googletest

Google Test

gpy

Gaussian processes framework in python

gramps

Source code for Gramps Genealogical program

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.

hpolib2

hypergrad

Exploring differentiation w.r.t hyperparameters

jsoncpp

A C++ library for interacting with JSON.

k-scope

Fortran source code analysis tool

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.

mapnificent

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

mtgp

Multi-task Gaussian Process

openvdb

OpenVDB Development Repository

pix2pix

Image-to-image translation with conditional adversarial nets

pix2pix-tensorflow

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

pixel-cnn

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

python-driver

DataStax Python Driver for Apache Cassandra

robo

RoBO: a Robust Bayesian Optimization framework

rootless-logcat

Android Logcat app without Root

smile

Statistical Machine Intelligence & Learning Engine

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

spgrid_topo_opt

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

steady-state-flow-with-neural-nets

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