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Generating labels for topics automatically using neural embeddings
Jupyter magics and kernels for working with remote Spark clusters
Jupyter widget for quick visualization of Pandas dataframes using Vega and Altair
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Hey there, this is an all brand new project. I spent a period of time searching, reading some papers, watching some tutorials and finally coding. I will let the project to speak itself, but I have …
This is a project in python to extract named entities from the given text corpus. You can use this project directly on your text corpus (changing path in config file) to train the model and score i…
Script for sentence comparing in Python using mainly Gensim and NLTK. Based on the use of Bag of Words, TF-IDF and already implemented gensim similarity score.
A Python + NLTK Text Mining Open Course // Curso aberto se utilizando de Python + NLTK para Mineração Textual
A curated list of awesome Machine Learning frameworks, libraries and software.
Basic Text Mining and NLP operations such as Tokenization, Portuguese POS Tagging, Stopword Removal among others.
Project for NLP Course; ISCTE-IUL University; Portuguese
Python State-of-Art Natural Language Processing Tools for Portuguese
A list of libraries and NLP projects for Portuguese
Utils for streaming large files (S3, HDFS, gzip, bz2...)
A little word cloud generator in Python
This is the code for "DeepFakes" by Siraj Raval on Youtube
A set of iPython notebooks for self study
A repository for learning python 3 with famous data structures and their algorithms.
toolkit for compiling corpus from various sources
Python tools for performing similarity searches on text documents.
Similarity search on Wikipedia using gensim in Python.
Python code for checking out Google's pre-trained, 3M word Word2Vec model
Deep Learning tutorials in jupyter notebooks.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.