760 Open source projects that are alternatives of or similar to sensim

Code for the paper "Improving GANs Using Optimal Transport"

Automatically extract chemical information from scientific documents

Curriculum Learning related papers and materials

Extract indicators of compromise from text, including "escaped" ones.

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

A simple Flask website for all NLP tasks which includes Text Preprocessing, Keyword Extraction, Text Summarization etc. Created Date: 30 Jan 2019

R.TeMiS: R Text Mining Solution

a curated list of R tutorials for Data Science, NLP and Machine Learning

Flexible, open & solid paper Quest Plugin [with GUI]

Text preprocessing tools in python.

No description or website provided.

TEANAPS 라이브러리를 활용한 자연어 처리와 텍스트 분석 방법론에 대해 다룹니다.

Beautiful visualizations of how language differs among document types.

This repo is about NAS

短文本聚类预处理模块 Short text cluster

Incremental Methods of Deep Learning for Detection and Classifcation in a Robotics Environment

This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt

My GitHub blog: things you might be interested, and probably not...

Open source projects related to Snips https://snips.ai/.

List of textual data sources to be used for text mining in R

Question Answering System using BiDAF Model on SQuAD v2.0

This repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)

Code for the Neural GPU model originally described in "Neural GPUs Learn Algorithms"

A curated (most recent) list of resources for Learning with Noisy Labels

Image Segmentation Enhancements and Optimizations: A Stochastic Approach

Python package for Korean natural language processing.

Tensorflow Implementation of the paper "Topology Adaptive Graph Convolutional Networks" (Du et al., 2017)

Fast n-Gram Tokenization

A collection of paper summaries from a wide range of topics related to Machine Learning

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

Uses Apache Lucene, OpenNLP and geonames and extracts locations from text and geocodes them.

💫 Automated codification of Greek Legislation with NLP

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

MetaSRA: normalized sample-specific metadata for the Sequence Read Archive

PaperView 是一个自定义的View，它就像一张纸折叠和展开

Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson

LSH index for approximate set containment search

A configurable web spider with a easy-to-use web console

A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

Python implementation of bag-of-concepts

CUDA implementation of the paper "Depth Super-Resolution Meets Uncalibrated Photometric Stereo"

Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.

Documentation and Wiki for SEPIA. Please post your questions and bug-reports here in the issues section! Thank you :-)

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)

A collection of notebooks for Natural Language Processing from NLP Town

Using Word2Vec to explore semantic similarities between the entities of "A Song of Ice and Fire" ("Game of Thrones").

KNIME - Text Processing Extension (Labs)

Virtual Assistant

Chatbot with bert chinese model, base on rasa framework（中文聊天机器人，结合bert意图分析，基于rasa框架）

a stateless chat bot to perform natural language queries against the App Store top charts

Various Algorithms for Short Text Mining

Summary of machine learning papers

Dataset used in "PlantDoc: A Dataset for Visual Plant Disease Detection" accepted in CODS-COMAD 2020

A place to keep track of all the annotated papers.

Keras implementation for CrossNet in paper "Cross-Target Stance Classification with Self-Attention Networks"

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.

No description or website provided.

Jupyter notebooks for our O'Reilly book "Blueprints for Text Analysis Using Python"