Pinned Repositories
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
NinaChang1107's Repositories
NinaChang1107/Clustering-with-Deep-learning
Generic implementation for clustering with deep learning : representation learning (DNN) + clustering
NinaChang1107/Clustering
A Collection of Clustering / Subspace Clustering Algorithms on MATLAB
NinaChang1107/machine-learning
my machine-learning tutorial
NinaChang1107/DEC-keras
Keras implementation for Deep Embedding Clustering (DEC)
NinaChang1107/imagefusion_dllrr
multi-focus image fusion using dictionary learning and low-rank representation(HOG features)
NinaChang1107/Sparse-Subspace-Clustering
NinaChang1107/Low-rank-kernel-subspace-clustering
NinaChang1107/Deep-subspace-clustering-networks
NinaChang1107/gcForest-1
gcForest个人整理，欢迎star or fork
NinaChang1107/dsc_gan
Deep Subspace Clustering + GAN
NinaChang1107/keras
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
NinaChang1107/models
Models and examples built with TensorFlow
NinaChang1107/autograd
Efficiently computes derivatives of numpy code.
NinaChang1107/cascade-subspace-clustering
NinaChang1107/drmad
DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks
NinaChang1107/SMAC3
Sequential Model-based Algorithm Configuration
NinaChang1107/auto-sklearn
NinaChang1107/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
NinaChang1107/the-gan-zoo
A list of all named GANs!
NinaChang1107/deeplearningbook-chinese
Deep Learning Book Chinese Translation
NinaChang1107/hyperopt-sklearn
Hyper-parameter optimization for sklearn
NinaChang1107/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
NinaChang1107/MLAlgorithms
Minimal and clean examples of machine learning algorithms
NinaChang1107/GAN
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
NinaChang1107/tf_rnnlm
Language Modeling with RNN using TensorFlow
NinaChang1107/RoBO
RoBO: a Robust Bayesian Optimization framework
NinaChang1107/DS-A-with-P
translate DS&A with P
NinaChang1107/skdata
Data sets for machine learning in Python
NinaChang1107/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
NinaChang1107/gcForest
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'