anastasiaboboshina Goto Github PK
Name: Anastasia
Type: User
Company: SberBank
Name: Anastasia
Type: User
Company: SberBank
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A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.
Completed educational projects on Python from the DataCamp: https://projects.datacamp.com/ (The resulting file of interest in each folder is named "notebook.ipynb")
Примеры для курса "Программирование глубоких нейронных сетей на Python"
The hands-on NLTK tutorial for NLP in Python
Курс по машинному обучению для магистров компьютерной лингвистики 1-го курса в Высшей Школе Экономики
Modern spell checking library - accurate, fast, multi-language
A Gallery of Interesting Jupyter Notebooks
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
Fork of Open Machine Learning course
ML Course created for Bauman Moscow State Technical University
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
YSDA course in Natural Language Processing
Материалы курса по компьютерной лингвистике Школы Лингвистики НИУ ВШЭ
🐦 Quickly annotate data from the comfort of your Jupyter notebook
Python library for interactive topic model visualization. Port of the R LDAvis package.
Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification. Статья тут: https://machinelearningmastery.ru/https-medium-com-chaturangarajapakshe-text-classification-wi
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
Fork of Huawei NLP seminars
Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
A PyPI package for easy text annotation in a Jupyter Notebook.
Code for all my tutorials
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.