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lstm_learn

a implement of LSTM using Keras for time series prediction regression problem

machine-learning

machine learning (code&documents)

machinelearninginaction

Source Code for the book: Machine Learning in Action published by Manning

machinelearninginaction-camp

ml-dl_book

机器学习、深度学习一些个人认为不错的书籍。

ml_decisiontree_prepruning_postpruning

本程序实现决策树的建立与可视化，以及决策树的预剪枝与后剪枝，数据集为西瓜书4.2、4.3节中的西瓜数据集

neural_network

BP神经网络

newgame

first_game

nlp

nlp-1

NLP 相关文件

numpy_ot

NumPy implementations of recent Optimal Transport algorithms

nypython

Python写的一些小工具---验证码识别，词频统计，LBP人脸识别,免费代理IP，抓包工具嗅探器,文本分类

octane

Octane number prediction using neural network

pandas

pandas basic skill

parallel_svms

The quantity of electronic data available for analysis has grown exponentially with the rapid development of the World Wide Web, the Internet of Things, and other digital technologies. As a result, data mining and machine learning algorithms face computational complexity issues when applied to real world datasets. Support Vector Machines (SVM) are powerful classifcation and regression tools but their computational requirements increase rapidly as the number of training examples increases. To address this problem, several parallel MapReduce based implementations of SVMs have been proposed. These implementation have in common that they decompose a large-scale multi-class problem to a number of relatively smaller subproblems by dividing the data into multiple partitions which can be processed in parallel; however, these approaches use different aggregation and combination strategies to form the final model.In this project, we implement three parallel SVM algorithms on the Hadoop implementation of MapReduce, using the LibSVM library for core SVM computations. We conduct a comprehensive investigation of the three algorithms in order to compare their generalization performance, accuracy, and training times.

pegasos_svm

Course Project for Optimization Methods (CS481) at IIIT Hyderabad

persondetection

Person Detection using HOG Feature and SVM Classifier

pigmented-skin-disease-automatic-recognition-and-classification-system

设计并实现了一个基于深度学习、集成学习、迁移学习、GAN等技术的色素性皮肤病自动识别七分类系统。本系统主要由服务端和客户端两个模块组成。服务端基于深度学习、集成学习、迁移学习、GAN等技术实现了对色素性皮肤病自动识别七分类。客户端使用微信小程序和网站(SSM、Springboot)开发。用户通过微信小程序或网站上传图像到服务端，服务端返回所属类别。

pli-toolbox

A MATLAB Toolbox for Probabilistic Learning and Inference

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

ppca-em-bpca-mean

均值-EM-BPCA-PPCA算法的缺失值（4种）插补

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pso-based-svr

PSO-Based-SVR to forecast potential delay time of bus arrival. Applied on City of Edmonton real data.

push_box

推箱子游戏

pyaudioanalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

pygame

pygame (the library) is a Free and Open Source python programming language library for making multimedia applications like games built on top of the excellent SDL library. C, Python, Native, OpenGL.

pygame-1

python开发植物大战僵尸游戏用pygame框架

pysimplegui

Launched in 2018 Actively developed and supported. Supports tkinter, Qt, WxPython, Remi (in browser). Create custom layout GUI's simply. Python 2.7 & 3 Support. 200+ Demo programs & Cookbook for rapid start. Extensive documentation. Examples using Machine Learning(GUI, OpenCV Integration, Chatterbot), Floating Desktop Widgets, Matplotlib + Pyplot integration, add GUI to command line scripts, PDF & Image Viewer. For both beginning and advanced programmers .

python-fp-growth

An implementation of the FP-growth algorithm in pure Python.

python-webspider

Python网络爬虫和抓取股票数据