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bayesianoptimization

A Python implementation of global optimization with gaussian processes.

hord

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

hypersearch

A particle swarm optimization library created by Numenta for hyperparameter optimization.

mnist-multitask

6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"

neural-networks-and-deep-learning-zh-cn

python

All Algorithms implemented in Python

rbfneuralnetwork

RBF(Radial Basis Function) Neural Network Implementation in Python

sl-pso_matlab

Matlab code of the social learning PSO (SL-PSO)

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

tencent-ml-images

Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet