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auto-sklearn

autograd

Efficiently computes derivatives of numpy code.

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

cascade-subspace-clustering

clustering

A Collection of Clustering / Subspace Clustering Algorithms on MATLAB

clustering-with-deep-learning

Generic implementation for clustering with deep learning : representation learning (DNN) + clustering

dec-keras

Keras implementation for Deep Embedding Clustering (DEC)

deep-subspace-clustering

Subspace clustering through the deep learning approach

deep-subspace-clustering-networks

deepclustering

deeplearningbook-chinese

Deep Learning Book Chinese Translation

dnn

Deep learning library for node.js. (Includes Logistic-Regression, MLP, RBM, DBN, CRBM, CDBN)

drmad

DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks

ds-a-with-p

translate DS&A with P

dsc_gan

Deep Subspace Clustering + GAN

gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

gbdt

A simple GBDT in Python

gcforest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

gcforest-1

gcForest个人整理，欢迎star or fork

hoag

Hyperparameter optimization with approximate gradient

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.

hype

Hype: Compositional Machine Learning and Hyperparameter Optimization

hypergrad

Exploring differentiation with respect to hyperparameters

hypernn

Academic project to optimize neural network hyper parameters.

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

hyperopt-sklearn

Hyper-parameter optimization for sklearn

imagefusion_dllrr

multi-focus image fusion using dictionary learning and low-rank representation(HOG features)

ipythontheanotutorials

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

low-rank-kernel-subspace-clustering