There are 17 repositories under spacy-nlp topic.
NLP in Python with Deep Learning
Named Entity Recognition (NER) Annotation tool for SpaCy. Generates Traning Data as a JSON which can be readily used.
Generating multiple choice questions from text using Machine Learning.
LanguageCrunch NLP server docker image
NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition
Train Spacy ner with custom dataset
Augmenty is an augmentation library based on spaCy for augmenting texts.
A Python library for detecting and filtering profanity
Python tutorials as Jupyter Notebooks for NLP, ML, AI
A resume filtering based on natural language processing
YouTube Transcript Summarization over Flask: This back-end uses Flask framework to receive API calls from the client and then respond with the summarized text response. This API can work only on those YouTube videos which has well-formatted closed captions in it. The same backend also hosts a web version of the Summarizer.
:sparkles: :dna: Turing ES - Enterprise Search, Chatbot using Search Engine and Many NLP Vendors.
Interactive Jupyter Notebooks for learning materials
spaCy-wrap is a wrapper library for spaCy for including fine-tuned transformers from Huggingface in your spaCy pipeline allowing you to include existing fine-tuned models within your SpaCy workflow.
:black_nib: Language Tool style grammar handling with spaCy 2.0
Full resources supporting the publication "A Pragmatic Guide to Geoparsing Evaluation."
Deep Learning notes and practical implementation with Tensorflow and keras. Text Analytics and practical application implementation with NLTK, Spacy and Gensim.
Collection of Notebooks for Natural Language Processing with PyTorch
Natural Language Processing using NLTK and Spacy
Repo containing the Twitter preprocessor module, developed by the AUTH OSWinds team
Instructions for how to convert a BERT Tensorflow model to work with HuggingFace's pytorch-transformers, and spaCy. This walk-through uses DeepPavlov's RuBERT as example.
A visualization of Mahabharata - the Indian Epic. An analysis of the charachters Karna and Arjuna from the text; exploring their appearances, descriptions and associations in the epic.
NLP parser using NER and TDD
An end-to-end event extraction and summarization system.
The primary purpose of this project is to create a news aggregator that gathers headlines and summaries announcements, news, and trending information about artificial intelligence and other cool technology stuff. After it has collected the articles and announcements, I would like it to generate a summary giving the highlights of that week's news. Ideally, after it has collected and summarized the information, I would like to generate a script based on the summaries and hopefully do a weekly online show discussing the happenings and other current events. Additionally, this is an exercise in for me to learn Cookiecutter, Git, ReadTheDocs, and Travis.CI. I have primarily worked with TFS, SVN, and Jenkins for CI. This will be a big learning experience for me. I'm ready to bang my head against my desk and learn everything I can.
Data Engineering Project to Extract and Process Solana Reddit Data
Using NLP and Summarization Techniques to extract the key information of the video
Text Preprocessing Package includes cleaning, tokenization, dataset preparation ...etc
A Deep Learning-Based Approach for Named Entity Recognition on Commercial Receipts
:game_die: KenLM extension for spaCy 2.0.