700 Open source projects that are alternatives of or similar to Machine-Learning-Models

Tutorial: Support Vector Machine from scratch using Python3

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

Pipeline for fast building text classification TF-IDF + LogReg baselines.

Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.

数据仓库与数据挖掘 大作业 -- 频繁模式挖掘

NLP framework: sentence detector, tokeniser, pos-tagger and dependency parser

Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons

AI SDTM mapping (R for ML, Python, TensorFlow for DL)

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

Open Source Package for Gibbs Sampling of LDA

End-to-end neural table-text understanding models.

📈 Useful notes and personal collections on statistics.

pyrff: Python implementation of random fourier feature approximations for gaussian processes

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

dzetsaka : classification plugin for Qgis

A Toolkit for Industrial Topic Modeling

Repository with all what is necessary for sentiment analysis and related areas

Fast Best-Subset Selection Library

Resources for learning about Text Mining and Natural Language Processing

A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.

👄 The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

Small JavaScript implementation of ID3 Decision tree

The Schema-Guided Dialogue Dataset

Basis Function Expansions for Julia

中文文本生成（NLG）之文本摘要（text summarization）工具包, 语料数据(corpus data), 抽取式摘要 Extractive text summary of Lead3、keyword、textrank、text teaser、word significance、LDA、LSI、NMF。（graph，feature，topic model，summarize tool or tookit）

Short Text Topic Modeling, JAVA

a Fairseq fork for sequence tagging/labeling tasks

Using Computer with your Statistics Major Course

Automated NLP sentiment predictions- batteries included, or use your own data

How to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.

Machine learning for C# .Net

Aircraft engine failure prediction model

Displays all the 2019 CVPR Accepted Papers in a way that they are easy to parse.

Contains various architectures and novel paper implementations for Natural Language Processing tasks like Sequence Modelling and Neural Machine Translation.

Natural language processing (NLP) newsletter right on GitHub

Machine Learning Procedures and Functions for Neo4j

Named-Entity-Recognition Workshop

A fast and easy to use decision tree learner in java

Do NLP without coding!

A Deep-Learning multi-purpose chatbot made using Python3

A tool for visualizing the structure and performance of Random Forests 🌳

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.

Flask API to productize a document classification model. Classification model was built using Keras with tensorflow backend

FUKinect-Fall dataset was created using Kinect V1. The dataset includes walking, bending, sitting, squatting, lying and falling actions performed by 21 subjects between 19-72 years of age.

fast sampling algorithm based on CGS

Memes - why so popular?

Bandit algorithms

No description or website provided.

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Three MIP models for optimal classification tree: OCT, binOCT, flowOCT

Reference implementation of the paper "Word Embeddings for Entity-annotated Texts"

Topic modelling on financial news with Natural Language Processing

A workshop on analyzing topic modeling (LDA, CTM, STM) using R

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paribhasha.herokuapp.com/

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

😔 😞 😣 😖 😩 Detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled "Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media"

Various examples of topic modeling and other text analysis