zhangxiang390

bash2048

Bash implementation of 2048 game

deeplearning

深度学习相关的模型训练、评估和预测相关代码

hello-world

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

jstorm

Enterprise Stream Process Engine

main

useful codes

meka

Multi-label classifiers and evaluation procedures using the Weka machine learning framework.

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

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

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

zhangxiang390/hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

zhangxiang390/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

zhangxiang390/bash2048

Bash implementation of 2048 game

zhangxiang390/deeplearning

深度学习相关的模型训练、评估和预测相关代码

zhangxiang390/hello-world

zhangxiang390/jstorm

Enterprise Stream Process Engine

zhangxiang390/main

useful codes

zhangxiang390/meka

Multi-label classifiers and evaluation procedures using the Weka machine learning framework.

zhangxiang390/neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

zhangxiang390/stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

zhangxiang390/zhihu

知乎专栏源码