230 Open source projects that are alternatives of or similar to Textclassification

A distributed logistic regression system based on ps-lite.

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

General Assembly's 2015 Data Science course in Washington, DC

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

DeFactoNLP: An Automated Fact-checking System that uses Named Entity Recognition, TF-IDF vector comparison and Decomposable Attention models.

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

Machine Learning inference engine for Microcontrollers and Embedded devices

Simple NLP in Rust with Python bindings

YouTube Like Count Predictions using Machine Learning

This is the implementation of Sparse Projection Oblique Randomer Forest

Simple machine learning library / 簡單易用的機器學習套件

gesture recognition toolkit

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

Fwumious Wabbit, fast on-line machine learning toolkit written in Rust

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Vietnamese NLP Toolkit for Node

Machine Learning library for the web and Node.

Python文本挖掘系统 Research of Text Mining System

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

The "Python Machine Learning (1st edition)" book code repository and info resource

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

Tool that predicts the outcome of a Dota 2 game using Machine Learning

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

Java version of LIBLINEAR

A collection of research papers on decision, classification and regression trees with implementations.

Fuzzy string matching, grouping, and evaluation.

Arabic Open Domain Question Answering System using Neural Reading Comprehension

A Survey and Experiments on Annotated Corpora for Emotion Classification in Text

Deep Learning From Scratch

Classifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests

Reproduce research from paper "Predicting the direction of stock market prices using random forest"

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

随机森林，Random Forest（RF）

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

A python library to build Model Trees with Linear Models at the leaves.

The main aim of this project is to tell that the certain project will be successful or it will fail by applying machine learning algorithm. In this , LOGISTIC REGRESSION is used to determine the success of the project by splitting the data into training and testing models and predicting a successful one.

Generalized Analog Regression Downscaling (GARD) code

A set of tools to understand what is happening inside a Random Forest

Text vectorization tool to outperform TFIDF for classification tasks

Implementation with some extensions of the paper "Snowball: Extracting Relations from Large Plain-Text Collections" (Agichtein and Gravano, 2000)

Library for MQL5 (MetaTrader) with Python, Java, Apache Spark, AWS

Generative Forests in Python

Field-aware factorization machine (FFM) with FTRL

exploratory data analysis using random forests

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

Handwritten Digit Recognition using Machine Learning and Deep Learning

A practical guide to topic mining and interactive visualizations

主要使用python+Scrapy框架去抓取新闻网站

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka

Text2Text: Cross-lingual natural language processing and generation toolkit

A sharing of the learning process of mathematical modeling 数学建模常用工具模型算法分享：数学建模竞赛优秀论文，数学建模常用算法模型，LaTeX论文模板，SPSS工具分享。