Markov bot - A Writing bot based on Markov Chain for Data Structure Lab

Last update: May 05, 2022

Related tags

Machine Learning Markov_bot

Overview

基于马尔可夫链的写作机器人

前端

用html/css完成

Demo展示（已给出文本的相应展示）
用户提供相关的语料库后训练的成果

后端

要完成的几个接口

解析文本：利用马尔可夫链算法，对已有文本进行分词，统计频率
根据解析的文本，进行随机文本生成
将生成的文本返回给前端，在网页上进行输出

需要解决的一些问题

前后端的连接：可以用Django之类的框架，完成一个简单的项目应该不是很难
后端的机器人的实现，核心是实现一个马尔可夫链
可选的文本风格：英文文本-->中文文本（诗句、废话生成...）

任务分配：

前端和前后端相连，在后端没写好之前可以自己写个小demo
后端解析文本
后端生成文本

Owner

DysprosiumDy

GitHub Repository

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Markov bot - A Writing bot based on Markov Chain for Data Structure Lab

Related tags

Overview

基于马尔可夫链的写作机器人

前端

后端

需要解决的一些问题

任务分配：

Owner

DysprosiumDy

Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

Extreme Learning Machine implementation in Python

Machine Learning University: Accelerated Natural Language Processing Class

2D fluid simulation implementation of Jos Stam paper on real-time fuild dynamics, including some suggested extensions.

Used Logistic Regression, Random Forest, and XGBoost to predict the outcome of Search & Destroy games from the Call of Duty World League for the 2018 and 2019 seasons.

Lingtrain Alignment Studio is an ML based app for texts alignment on different languages.

A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize

Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

Model search (MS) is a framework that implements AutoML algorithms for model architecture search at scale.

Kubeflow is a machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on Kubernetes simple, portable, and scalable.

This is an auto-ML tool specialized in detecting of outliers

ArviZ is a Python package for exploratory analysis of Bayesian models

Real-time stream processing for python

Model factory is a ML training platform to help engineers to build ML models at scale

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

A toolkit for making real world machine learning and data analysis applications in C++

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

Pandas DataFrames and Series as Interactive Tables in Jupyter

A demo project to elaborate how Machine Learn Models are deployed on production using Flask API

Greykite: A flexible, intuitive and fast forecasting library

Markov bot - A Writing bot based on Markov Chain for Data Structure Lab

Related tags

Overview

基于马尔可夫链的写作机器人

前端

后端

需要解决的一些问题

任务分配：

Owner

DysprosiumDy

Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

Extreme Learning Machine implementation in Python

Machine Learning University: Accelerated Natural Language Processing Class

2D fluid simulation implementation of Jos Stam paper on real-time fuild dynamics, including some suggested extensions.

Used Logistic Regression, Random Forest, and XGBoost to predict the outcome of Search & Destroy games from the Call of Duty World League for the 2018 and 2019 seasons.

Lingtrain Alignment Studio is an ML based app for texts alignment on different languages.

A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize

Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

Model search (MS) is a framework that implements AutoML algorithms for model architecture search at scale.

Kubeflow is a machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on Kubernetes simple, portable, and scalable.

This is an auto-ML tool specialized in detecting of outliers

ArviZ is a Python package for exploratory analysis of Bayesian models

Real-time stream processing for python

Model factory is a ML training platform to help engineers to build ML models at scale

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

A toolkit for making real world machine learning and data analysis applications in C++

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

Pandas DataFrames and Series as Interactive Tables in Jupyter

A demo project to elaborate how Machine Learn Models are deployed on production using Flask API

﻿Greykite: A flexible, intuitive and fast forecasting library

Greykite: A flexible, intuitive and fast forecasting library