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

• ZWMiller / nlp_pipe_manager
  A pipeline for NLP projects using SkLearn
  ☆24Updated 6 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated 5 months ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 7 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆31Updated 8 months ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆68Updated 4 years ago
• koaning / spacy-youtube-material
  Here are the notebooks used during the spacy youtube series.
  ☆103Updated 3 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated 5 months ago
• chrispaulca / waterfall
  An easy to use waterfall chart function for Python
  ☆161Updated 4 years ago
• bgweber / DS_Production
  ☆154Updated 4 years ago
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 6 years ago
• bhargavvader / personal
  Contains Jupyter Notebooks of stuff I am working on.
  ☆200Updated 4 years ago
• mattilyra / pydataberlin-2017
  Repo for my talk at the PyData Berlin 2017 conference
  ☆66Updated 7 years ago
• pycaret / pycaret-streamlit-google
  Deployment of PyCaret pipeline and Streamlit app on GCP Kubernetes
  ☆16Updated 4 years ago
• dipanjanS / nlp_crash_course_plugin20
  Contains relevant notebooks for the hands-on NLP workshop for the Analytics India Magazine Plugin Conference -2020 Edition
  ☆71Updated 4 years ago
• niharikabalachandra / PropensityToConvert
  Propensity models make true predictions about a customer’s future behavior. With propensity models you can truly anticipate a customer's …
  ☆17Updated 5 years ago
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 7 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆103Updated 2 years ago
• taknev83 / pywedge
  Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
  ☆55Updated 3 years ago
• nirupamaprv / Analyze-AB-test-Results
  E-Commerce Website A/B testing: Recommend which of two landing pages to keep based on A/B testing
  ☆23Updated 7 years ago
• jalajthanaki / Customer_lifetime_value_analysis
  Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
  ☆45Updated 6 years ago
• arimbr / valohai-fasttext-example
  Production Machine Learning Pipeline for Text Classification with fastText
  ☆32Updated 3 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆53Updated 2 years ago
• FredaXin / eda_and_beyond
  Library of automation tools for EDA and modeling
  ☆27Updated 3 years ago
• amueller / dabl
  Data Analysis Baseline Library
  ☆130Updated 3 months ago
• davidsbatista / machine-learning-notebooks
  Assorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory
  ☆45Updated 6 years ago
• loldja / loldja.github.io
  Data science blog
  ☆33Updated 6 years ago
• tsterbak / pydataberlin-2019
  This Repository contains the material for my tutorial "Managing the end-to-end machine learning lifecycle with MLFlow" at pyData/pyCon Be…
  ☆39Updated last year
• yoonhwang / hands-on-data-science-for-marketing
  ☆27Updated 3 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 5 years ago
• darenasc / auto-eda
  Automated Exploratory Data Analysis. Simplifying Data Exploration
  ☆34Updated 4 years ago