644 Open source projects that are alternatives of or similar to textlearnR

R package to Embed All the Things! using StarSpace

🗣️ Tool to generate adversarial text examples and test machine learning models against them

RMDL: Random Multimodel Deep Learning for Classification

Awesome-Text-Classification Projects,Papers,Tutorial .

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

Repo for Applied Text Mining in Python (coursera) by University of Michigan

Fake News Detection in Python

Twitter Sentiment Analyzer

D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.

Repository for the projects needed to complete the Data Analyst Nanodegree.

Text corpus for Bahasa Malaysia, https://malaya.readthedocs.io/en/latest/Dataset.html

A practical example on how to combine both a CNN and a RNN to classify images.

Classifying time series using feature extraction

EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)

Code for NeurIPS 2019 Paper

Blue Brain text mining toolbox for semantic search and structured information extraction

Super simple text classifier using Naive Bayes. Plug-and-play, no dependencies

Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset

Machine-learning based pipeline relying on LambdaMART currently used in PubMed for relevance (Best Match) searches

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

Information Inference Service of the OpenAIRE system

This project explores colors in various images and then enables the user to query the images based on a given color.

parsing fixed width files content made easy

The Text Mining Elixir

Text classification meets word embeddings.

Deep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S0925231221018142

This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"

Odinson is a powerful and highly optimized open-source framework for rule-based information extraction. Odinson couples a simple, yet powerful pattern language that can operate over multiple representations of text, with a runtime system that operates in near real time.

dzetsaka : classification plugin for Qgis

Repository for anime characters recognition website, powered by TensorFlow

基于Tensorflow2开发的优秀扩展包及项目

[KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding

Deduce: de-identification method for Dutch medical text

Code for replicating results of team 'hateminers' at EVALITA-2018 for AMI task

A general-purpose pythonic genetic algorithm.

Kaggle Titanic example

Set model hyperparameters using deterministic, exact algorithms.

Using Kafka-Python to illustrate a ML production pipeline

Polyaxon Core Client & CLI to streamline MLOps

Natural World Tasks

Real-time Web Dashboard for Optuna.

Embeddings: State-of-the-art Text Representations for Natural Language Processing tasks, an initial version of library focus on the Polish Language

Functional and structural analysis of tables in research papers (Table disentangling)

A flexible Python front-end inference SDK based on TensorRT

Parallel Hyperparameter Tuning in Python

Distribution transparent Machine Learning experiments on Apache Spark

Segmentation based event detection from Tweets. Published at NAACL SRW 2019

Scalable, structured, dynamically-scheduled hyperparameter optimization.

PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murray et al. 2019).

Vita - Genetic Programming Framework

An integrated framework in R for textual sentiment time series aggregation and prediction

Korpuslinguistik war noch nie so einfach...

Reusable, Easy-to-use Uncertainty module package built with Tensorflow, Keras

Python & command-line tool to gather text on the Web: web crawling/scraping, extraction of text, metadata, comments

Detect and visualize text reuse

High-resolution breast cancer screening with multi-view deep convolutional neural networks

ML algorithm for real-time classification

Hyperparameter optimization package of the mlr3 ecosystem