Alternatives and similar repositories for modern-nlp-in-python-2019

Users that are interested in modern-nlp-in-python-2019 are comparing it to the libraries listed below

• koaning / spacy-youtube-material
  Here are the notebooks used during the spacy youtube series.
  ☆103Updated 4 years ago
• bgweber / DS_Production
  ☆155Updated 5 years ago
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆142Updated 3 years ago
• bhargavvader / personal
  Contains Jupyter Notebooks of stuff I am working on.
  ☆197Updated 5 years ago
• ZWMiller / nlp_pipe_manager
  A pipeline for NLP projects using SkLearn
  ☆24Updated 7 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆105Updated 3 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆73Updated 5 years ago
• Acrotrend / Awesome-Customer-Analytics
  A curated list of awesome customer analytics content
  ☆98Updated 7 years ago
• ersaurabhverma / autoplotter
  ☆152Updated 5 years ago
• srivatsan88 / TPOT
  TPOT Sample
  ☆27Updated 6 years ago
• tdg5 / stats-learning-notes
  Notes from Introduction to Statistical Learning
  ☆117Updated 7 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 3 years ago
• amueller / dabl
  Data Analysis Baseline Library
  ☆133Updated last year
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• HamzaBendemra / Employee-Churn-Predictive-Model
  Predicting Employee Churn with Supervised Machine Learning
  ☆63Updated 4 years ago
• Deffro / text-preprocessing-techniques
  16 Text Preprocessing Techniques in Python for Twitter Sentiment Analysis.
  ☆227Updated 6 years ago
• bhavsarpratik / data-science-interview-assignments
  Real data science interview assignments
  ☆94Updated 5 years ago
• docker-for-data-science / docker-for-data-science-tutorial
  Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
  ☆158Updated 5 years ago
• dipanjanS / deep_transfer_learning_nlp_dhs2019
  Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019
  ☆82Updated 6 years ago
• dipanjanS / art_of_data_visualization
  The art of effective visualization of multi-dimensional data
  ☆163Updated 7 years ago
• neomatrix369 / nlp_profiler
  A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data…
  ☆243Updated last year
• bondicrypto / AB_Testing
  Implementing A/B Tests in Python
  ☆29Updated 5 years ago
• taknev83 / pywedge
  Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
  ☆55Updated 4 years ago
• susanli2016 / PyCon-Canada-2019-NLP-Tutorial
  ☆56Updated 6 years ago
• dair-ai / keep-learning-ml
  A club to keep learning about ML
  ☆91Updated 4 years ago
• amueller / ml-workshop-2-of-4
  Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
  ☆128Updated 4 years ago
• chrispaulca / waterfall
  An easy to use waterfall chart function for Python
  ☆164Updated 4 years ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆225Updated 6 years ago