PeteMa

Pinned Repositories

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C-Plus-Plus
All Algorithms implemented in C++
Language:C++00
differential-evolution
Single header c++ implementation of Differential Evolution algorithm for general purpose optimization.
Language:C++00
eda-suite
Research code for using generative neural networks in Estimation of Distribution Algorithms (EDAs)
Language:MATLAB00
genetic
Genetic Algorithms
Language:C++10
hello-world
just a try
Language:Jupyter Notebook00
learngit
00
libcmaes
libcmaes is a multithreaded C++11 library with Python bindings for high performance blackbox stochastic optimization using the CMA-ES algorithm for Covariance Matrix Adaptation Evolution Strategy
Language:C++00
matminer_examples
A repo of examples for the matminer (https://github.com/hackingmaterials/matminer) code
Language:Jupyter Notebook00
Python
All Algorithms implemented in Python
Language:Jupyter Notebook10

PeteMa's Repositories

PeteMa/genetic
Genetic Algorithms
Language:C++10
PeteMa/Python
All Algorithms implemented in Python
Language:Jupyter Notebook10
PeteMa/-
00
PeteMa/C-Plus-Plus
All Algorithms implemented in C++
Language:C++00
PeteMa/differential-evolution
Single header c++ implementation of Differential Evolution algorithm for general purpose optimization.
Language:C++00
PeteMa/eda-suite
Research code for using generative neural networks in Estimation of Distribution Algorithms (EDAs)
Language:MATLAB00
PeteMa/hello-world
just a try
Language:Jupyter Notebook00
PeteMa/learngit
00
PeteMa/libcmaes
libcmaes is a multithreaded C++11 library with Python bindings for high performance blackbox stochastic optimization using the CMA-ES algorithm for Covariance Matrix Adaptation Evolution Strategy
Language:C++00
PeteMa/matminer_examples
A repo of examples for the matminer (https://github.com/hackingmaterials/matminer) code
Language:Jupyter Notebook00
PeteMa/MIT-6.824
Basic Sources for MIT 6.824 Distributed Systems Class
PeteMa/mlcourse
Machine learning course materials.
PeteMa/WebServer
A C++ High Performance Web Server