699 Open source projects that are alternatives of or similar to Nuspell

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🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

⛔ [NOT MAINTAINED] A web-based annotator for closed-domain question answering datasets with SQuAD format.

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A collection of 500+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)

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An open-source NLP research library, built on PyTorch.

Open Korean Text Processor - An Open-source Korean Text Processor

Pujangga - Indonesian Natural Language Processing Tool with REST API, an Interface for InaNLP and Deeplearning4j's Word2Vec

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Official Ruby client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Ruby apps.

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

A collection of basic python modules for spoken natural language processing

🔡 Token level embeddings from BERT model on mxnet and gluonnlp

This is a list of open-source projects at Microsoft Research NLP Group

Python port of SymSpell

Code for the old version of BioMedICUS, for the new version see the biomedicus3 repository.

JavaScript Web SDK for Dialogflow

📝 A list of pre-trained BERT models for Japanese with word/subword tokenization + vocabulary construction algorithm information

A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!

A Natural Language Toolkit for Indian Languages

Portuguese pre-trained BERT models

Spoken Language Understanding(SLU)/Slot Filling in Keras

A list of recent papers about Graph Neural Network methods applied in NLP areas.

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

Một cuốn sách tương tác về học sâu có mã nguồn, toán và thảo luận. Đề cập đến nhiều framework phổ biến (TensorFlow, Pytorch & MXNet) và được sử dụng tại 175 trường Đại học.

Multi-layer Recurrent Neural Networks for character-level language models implements by TensorFlow

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

🪐 End-to-end NLP workflows from prototype to production

TextRank implementation for Python 3.

Natural-language event parser for Javascript

Geotext extracts country and city mentions from text

A CS degree with a focus on full-stack ML engineering, 2020

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Github repo with tutorials to fine tune transformers for diff NLP tasks

A Shiny Application for Inspecting Structural Topic Models

A neural network architecture for NLP tasks, using cython for fast performance. Currently, it can perform POS tagging, SRL and dependency parsing.

Generating Text using Deep Learning in Python - LSTM, RNN, Keras

Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning

Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.

A curated list of beginner resources in Natural Language Processing

Machine Reading Comprehension in Tensorflow

Collection of useful data science topics along with code and articles

A list of NLP(Natural Language Processing) tutorials

A curated list of recent models of text generation and application

Investigate how mutual funds leverage credit derivatives by studying their routine filings to the SEC using NLP techniques 📈🤑

Facilitating the design, comparison and sharing of deep text matching models.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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A C# version of Hazm (Python library for digesting Persian text)

My personal notes and surveys on DL, CV and NLP papers.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Русскоязычный чатбот

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[ECCV 2020] ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language