Alternatives and similar repositories for JokeRecommender

Users that are interested in JokeRecommender are comparing it to the libraries listed below

• whiteboxml / teaching-ml-in-production
  ☆53Updated 3 years ago
• uzaymacar / exemplary-ml-pipeline
  Exemplary, annotated machine learning pipeline for any tabular data problem.
  ☆27Updated 6 years ago
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆82Updated 5 years ago
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆38Updated last year
• glopasso / text-summarization
  Text summarization algorithm for the Capstone Project at Springboard code bootcamp
  ☆54Updated 2 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• ianozsvald / beyond_correlation
  Exploratory code to see if we can learn about feature relationships in a DataFrame using machine learning
  ☆55Updated 6 years ago
• minimaxir / ml-data-generator
  Python script to generate fake datasets optimized for testing machine learning/deep learning workflows
  ☆50Updated 6 years ago
• fastai / ethics.fast.ai
  The fast.ai data ethics course
  ☆17Updated 2 years ago
• luke14free / bulldog
  State management framework for Data Science & Analytics
  ☆19Updated 6 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 6 years ago
• EricSchles / datascience_book
  ☆134Updated last year
• amitkaps / art-data-science
  The Art of Data Science
  ☆36Updated 6 years ago
• bgweber / DS_Production
  ☆155Updated 5 years ago
• mratsim / meilleur-data-scientist-france-2018
  My solution for the competition "Le meilleur data scientist de France 2018" (Best Data Scientist of France 2018)
  ☆12Updated 7 years ago
• talfco / clb-sentiment
  Start your journey into social media analysis of politicans by using Python (Tutorial)
  ☆21Updated 6 years ago
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆72Updated 4 years ago
• omarsar / nlp_pycon
  Material for PyCon 2019 NLP Tutorial
  ☆32Updated 6 years ago
• Atreya22 / luigi_rosmann_sales
  Using Luigi to create a Machine Learning Pipeline using the Rossman Sales data from Kaggle
  ☆33Updated 9 years ago
• lapolonio / text_classification_tutorial
  Enterprise Solution for Text Classification (using BERT)
  ☆10Updated 2 years ago
• fastai / fastsql1
  A bit of extra usability for sqlalchemy v2.
  ☆78Updated last year
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆112Updated 3 years ago
• kaggler-tv / kaggler-tv-schedule
  Kaggler TV
  ☆54Updated 5 years ago
• croach / statistics-for-hackers
  A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.
  ☆77Updated 7 years ago
• weehyong / MLScore
  Know your ML Score based on Sculley's paper
  ☆34Updated 6 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• joelgrus / fizzbuzz
  code for the book "Ten Essays on Fizz Buzz"
  ☆44Updated 5 years ago
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆104Updated 4 years ago
• rozester / LinkedIn-Comments-Analyzer
  Extracting LinkedIn comments from any post and export it to Excel file
  ☆23Updated 7 years ago