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python-ai's Introduction

Python-AI

use python3 to learning AI

环境

安装Anaconda

创建虚拟环境

pip freeze > requirements.txt
pip install -r requirements.txt

项目结构(持续更新中...)

├── BasicLibs
│   ├── learnDask
│   │   ├── dask-worker-space
│   │   └── datas
│   ├── learnDecorator
│   ├── learnH2o
│   │   └── datas
│   ├── learnHdfs
│   ├── learnMatplotlib
│   ├── learnNumpy
│   │   └── datas
│   ├── learnObject
│   ├── learnOthers
│   ├── learnPandas
│   │   ├── data
│   │   └── movie-data
│   ├── learnPickle
│   │   └── tmp
│   ├── learnPySpark
│   │   ├── data
│   │   │   ├── graphx
│   │   │   ├── mllib
│   │   │   │   ├── als
│   │   │   │   ├── images
│   │   │   │   │   ├── kittens
│   │   │   │   │   └── multi-channel
│   │   │   │   └── ridge-data
│   │   │   └── streaming
│   │   ├── ml
│   │   │   └── spark-warehouse
│   │   ├── mllib
│   │   ├── resources
│   │   ├── spark-warehouse
│   │   ├── sql
│   │   │   └── streaming
│   │   └── streaming
│   ├── learnSklearn
│   │   ├── basicAPI
│   │   └── modelEvaluate
│   ├── learnSklearn2pmml
│   ├── learnStatsmodels
│   │   └── datas
│   ├── learnSurprise
│   │   ├── Collaborative_filtering
│   │   ├── datas
│   │   └── music
│   ├── learnTensorFlow
│   │   ├── basic
│   │   ├── distribute
│   │   └── result
│   └── math
│       └── datas
├── DeepLearning
│   ├── BP
│   │   ├── data
│   │   └── mn
│   │       └── graph
│   ├── CNN
│   │   ├── data
│   │   │   ├── 17flowers
│   │   │   │   └── jpg
│   │   │   ├── captcha
│   │   │   └── mnist
│   │   ├── info
│   │   └── nets
│   ├── DCGAN
│   │   └── data
│   ├── GAN
│   │   └── data
│   ├── IDCNN
│   ├── LSTM
│   │   └── data
│   ├── RBF
│   ├── RNN
│   │   ├── char_rnn
│   │   │   └── data
│   │   └── data
│   │       └── mnist
│   └── softmax
│       └── data
├── FeatureEngineering
│   └── datas
├── MLBookCode
│   ├── BayesModel
│   ├── DecisionTree
│   ├── EnsembleLearning
│   ├── Img
│   ├── KNearestNeighbor
│   ├── LinerModel
│   ├── NeuralNet
│   ├── SVM
│   ├── dataSet
│   └── lib
│       └── libsvm
├── MachineLearning
│   ├── Bayes
│   │   └── datas
│   ├── Cluster
│   ├── DecisionTree
│   │   └── datas
│   ├── EM&GMM
│   │   └── datas
│   ├── Ensemble
│   │   └── datas
│   ├── GradientDescent
│   ├── HMM
│   │   ├── algorithm_apply
│   │   └── algorithm_implementation
│   ├── IForest
│   │   └── datas
│   ├── KMeans
│   │   └── datas
│   ├── KNN
│   │   └── datas
│   ├── LinearRegression
│   │   └── datas
│   ├── LogisticRegression
│   │   ├── datas
│   │   └── demo
│   ├── OVO&OVR
│   ├── SVM
│   │   └── datas
│   └── cluster_evaluate
├── MakeModels
│   └── datas
└── Projects
    ├── NERuselocal
    │   ├── ckpt
    │   ├── config
    │   ├── data
    │   ├── log
    │   ├── result
    │   ├── servers
    ├── Seq2Seq_Chatbot
    │   ├── bucket_dbs
    │   ├── db
    │   └── text8
    ├── __pycache__
    ├── anti_fraud
    │   └── datas
    ├── ctr_prediction
    │   ├── criteo_data
    │   └── data
    ├── mail_classification
    │   └── datas
    │       ├── data
    │       ├── delay
    │       ├── full
    │       └── merge
    ├── music_category
    │   └── datas
    ├── plate_number
    │   ├── NoPlates
    │   ├── font
    │   ├── images
    │   ├── models
    │   ├── plate
    │   └── tfrecord_demo
    │       └── data
    └── text_classification_cnn_rnn
        ├── checkpoints
        │   └── textrnn
        ├── data
        ├── helper
        ├── images
        └── tensorboard
            └── textrnn

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