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17 search results found

Spacy Course ⭐ 2,267

👩‍🏫 Advanced NLP with spaCy: A free online course

Pytorch Nlp ⭐ 2,180

Basic Utilities for PyTorch Natural Language Processing (NLP)

Sense2vec ⭐ 1,486

🦆 Contextually-keyed word vectors

Fasttext_multilingual ⭐ 1,188

Multilingual word vectors in 78 languages

Spacy Streamlit ⭐ 688

👑 spaCy building blocks and visualizers for Streamlit apps

Simple downloader for pre-trained word vectors

Pyfasttext ⭐ 229

Yet another Python binding for fastText

Coursera Natural Language Processing Specialization ⭐ 217

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

Splitter ⭐ 203

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

Fuzzymax ⭐ 42

Code for the paper: Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors, ICLR 2019.

Tying Wv And Wc ⭐ 38

Implementation for "Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling"

Resume Rater ⭐ 37

Rates the quality of a candidate based on his/her resume using unsupervised approaches

Code for the papers: Correlation Coefficients and Semantic Textual Similarity, NAACL-HLT 2019 & Correlations between Word Vector Sets, EMNLP-IJCNLP 2019.

Twitter Sentiment Analysis Nlp Hackathon ⭐ 12

Problem Statement: Given the tweets from customers about various tech firms who manufacture and sell mobiles, computers, laptops, etc, the task is to identify if the tweets have a negative sentiment towards such companies or products.

Faster Fasttext ⭐ 11

Same fastText, but up to 2x faster training and inference.

Fib Chatbot ⭐ 8

A chatbot developed to help FIB students. It uses both NLP and Machine Learning techniques to answer questions.

Learning Word Vectors from Project Gutenberg Texts

Semantic Similarity Extraction Using Word Vectors In Mahabharata Dataset ⭐ 7

Semantic similarity extraction using word vectors in Mahabharata dataset

A package for reading/writing files containing pre-trained word embeddings and building "embedding matrices".

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