搜索资源列表
gcforest
- 基于树的最新算法gc forest，性能可以达到与深度学习媲美的程度。(Tree-based latest algorithm gc forest, performance can be achieved with the depth of learning comparable to the degree.)
solarized
- rform_dictionary_learning - learn a dictionnary using K-SVD algorithm. %. % [D,X,E] ... The number of iteration for sparse coding during each step of learning. % is given by ... 'mod': in this case, the dictionary update is computed using the L2.
Q-Learning-in-Python-master
- 使用python简单实现q-learning的功能(Simple implementation of q-learning function using python)
WENO-master
- sod 激波管问题的简单实现，包括weno3和weno5，makefile可正常运行，方便使用(Sod shock tube simple implementation of the problem, including weno3 and weno5, makefile can be normal operation, easy to use)
WenOOF-master
- 面向对象fortran写的一维流体力学代码，结构清晰，方便实现，欢迎下载(object-oriented FORTRAN written one-dimensional fluid mechanics code, clear structure, easy to implement, please download)
gcForest-master
- gcForest算法，覅电话是的 开开哦就与怕哦啊是开是想蠢个 和我去啊是的和就开了怕哦(gcForest algorithm osidufhgierughr oerough iu ouerhiurh ouerhgiuhga oauhsr)
kaggle-quora-question-pairs
- kaggle quora 问题相似度匹配比赛 top1% 代码(kaggle quora question pair competition top1% solution)
Kaggle_Mercedes_Benz
- kaggle 梅赛德斯奔驰比赛 top 3% 源码(Kaggle Mercedes Benz competition top3 solution)
Kaggle_Russian_Housing_Market
- kaggle 俄罗斯房价预测 top2% 解决方案(Kaggle Russian Housing Market price predict top2% solution)
deep_complex_networks-master
- 该存储库包含重现深层复杂网络文章中提供的实验的代码。(This repository contains code which reproduces experiments presented in the paper Deep Complex Networks.)
gcforest
- 这是17年3月份，周志华教授提出的GCforest的代码，代码是在南京大学数据挖掘研究所的官网上面下的，基于PYTHON实现的(This is the 17 year in March, Professor Zhou Zhihua proposed GCforest code, the code is in the Nanjing University Data Mining Institute's official website above, based on PYTHON implemen
DeepLearningTutorials-master
- DeepLearningTutorials-master
test_5.0_tetris
- 基于Vivado实验平台，用Verilog语言编写的俄罗斯方块，可以在FPGA硬件上上下载运行(Based on the Vivado platform, the Tetris block written in the Verilog language can be downloaded on the FPGA hardware.)
scikit-learn-master
- 用python学习scikit-learn(Learning scikit-learn with Python)
scikit-learn-master03
- 用python学习scikit-learn 03(Learning scikit-learn with Python 03)
scikit-learn-04
- 用python学习scikit-learn 04(Learning scikit-learn with Python 04)
s-l5
- 用python学习scikit-learn 05(Learning scikit-learn with Python 05)
sl
- 用python学习scikit-learn 01(Learning scikit-learn with Python 01)
xcluster-master
- SIGKDD2017上的文章，该算法适合数据集类簇数和数据条目都比较大的情况，聚类效率高(It is suitable for large number of data categories and data items, and the efficiency of clustering is high)
Using-Ranking-CNN-for-Age-Estimation-master
- 基于深度学习 的年龄识别,ranking age cnn(deep learning ,ranking age cnn)