Alternatives and similar repositories for Natural-Language-Processing-in-TensorFlow

Users that are interested in Natural-Language-Processing-in-TensorFlow are comparing it to the libraries listed below

• susanli2016 / Natural-Language-Processing-with-Deep-Learning-in-Python-
  The repository for the course in Udemy
  ☆16Updated 5 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 5 years ago
• susanli2016 / Data-Analysis-with-Python
  Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling
  ☆31Updated 5 years ago
• AileenNielsen / OReillyHealthcareData
  ☆40Updated 8 years ago
• Sardhendu / Data-Science-Projects
  {PySpark, R, Python}: Several Data Science projects
  ☆16Updated 7 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆37Updated 6 years ago
• dipanjanS / live-manning-nlpconf20
  Papers, code and slides for my session at the live@manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural La…
  ☆36Updated 4 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.
  ☆47Updated 7 years ago
• rileypredum / mall_customer_segmentation
  Quick EDA on a data set to determine what segments there are.
  ☆31Updated 6 years ago
• Dataweekends / exploratory_data_analysis
  Few tutorials on pandas, matplotlib and seaborn
  ☆27Updated 9 years ago
• PacktPublishing / Exploratory-Data-Analysis-with-Pandas-and-Python-3.x
  Exploratory Data Analysis with Pandas and Python 3.x, published by Packt
  ☆44Updated 2 years ago
• treselle-systems / customer_churn_analysis
  In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…
  ☆60Updated 2 years ago
• dipanjanS / feature_engineering_session_dhs18
  Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better …
  ☆30Updated 4 years ago
• susanli2016 / Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-2nd-Edition
  Book Projects
  ☆24Updated 4 years ago
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆49Updated 6 years ago
• susanli2016 / PyCon-Canada-2019-NLP-Tutorial
  ☆56Updated 5 years ago
• tirthajyoti / Packt-Data_Wrangling
  Code repo for Packt course I developed, "Beginning Data Wrangling with Python"
  ☆30Updated 5 years ago
• PacktPublishing / Building-Recommendation-Systems-with-Python
  Building Recommendation Systems with Python [Video], by Packt Publishing
  ☆89Updated 2 years ago
• pmservice / ai-openscale-tutorials
  Watson OpenScale tutorials including sample models, notebooks and applications
  ☆22Updated 2 years ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆66Updated 5 years ago
• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆61Updated 2 years ago
• xcitech / ml-flask-tutorial
  A tutorial to create python based prediction web app
  ☆30Updated 5 years ago
• PacktPublishing / Hands-on-NLP-with-NLTK-and-scikit-learn-
  Hands-on NLP with NLTK and scikit-learn[video], published by Packt
  ☆34Updated last year
• susanli2016 / Deep-Learning-with-deeplearning.ai
  Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng
  ☆51Updated 7 years ago
• nesreensada / Data-Scientist-Udacity-Nanodegree-Term2
  This repo contains the material and projects for Udacity Data science Nanodegree term 2
  ☆11Updated 2 years ago
• dipanjanS / stanford-statistical-learning
  Slides, material and solutions of the popular Statistical Learning course from Stanford's own Hastie & Tibshirani. Join me on my journey …
  ☆15Updated 7 years ago
• dipanjanS / nlp_workshop_dhs18
  Contains code and presentation for our full day workshop, 'Getting Started with Natural Language Processing'. This is created for the pur…
  ☆66Updated 6 years ago
• pradeepsinngh / Data-Science-101
  Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.
  ☆21Updated 5 years ago
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆62Updated 4 years ago
• WillKoehrsen / Udacity-Data-Analyst-Nanodegree
  All Code and resources for the Udacity Data Analyst Nanodegree
  ☆38Updated 7 years ago