Alternatives and similar repositories for JokeRecommender

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

• glopasso / text-summarization
  Text summarization algorithm for the Capstone Project at Springboard code bootcamp
  ☆54Updated 2 years ago
• whiteboxml / teaching-ml-in-production
  ☆53Updated 3 years ago
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆82Updated 5 years ago
• oskar-j / awesome-text-ml
  A curated list of ML awesome frameworks & libraries for text data
  ☆16Updated 2 years ago
• uzaymacar / exemplary-ml-pipeline
  Exemplary, annotated machine learning pipeline for any tabular data problem.
  ☆27Updated 6 years ago
• omarsar / nlp_pycon
  Material for PyCon 2019 NLP Tutorial
  ☆32Updated 6 years ago
• lapolonio / text_classification_tutorial
  Enterprise Solution for Text Classification (using BERT)
  ☆10Updated 3 years ago
• EricSchles / datascience_book
  ☆134Updated last year
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆38Updated 6 years ago
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆72Updated 4 years ago
• lmcinnes / subreddit_mapping
  Notebooks and data associated to constructing and exploring a map of subreddits.
  ☆55Updated 8 years ago
• idealo / falcon-prediction-app
  Simple Machine Learning Web API Example with Falcon
  ☆51Updated last year
• luke14free / bulldog
  State management framework for Data Science & Analytics
  ☆19Updated 6 years ago
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆38Updated last year
• fastai / ethics.fast.ai
  The fast.ai data ethics course
  ☆17Updated 2 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago
• yanneta / deep-learning-data-institute
  Repo for the course "Fundamentals of Deep Learning with Pytorch"
  ☆39Updated 4 years ago
• chiphuyen / metaflow-transformers-tutorials
  Metaflow tutorials for ODSC West 2021
  ☆64Updated 4 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
• weehyong / MLScore
  Know your ML Score based on Sculley's paper
  ☆34Updated 6 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 6 years ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• talfco / clb-sentiment
  Start your journey into social media analysis of politicans by using Python (Tutorial)
  ☆21Updated 6 years ago
• amitkaps / art-data-science
  The Art of Data Science
  ☆36Updated 6 years ago
• joelgrus / fizzbuzz
  code for the book "Ten Essays on Fizz Buzz"
  ☆44Updated 5 years ago
• dimitreOliveira / Tweet-Sentiment-Extraction
  (Silver medal - 60th place - Top 3%) Repository for the "Tweet Sentiment Extraction" Kaggle competition.
  ☆10Updated 5 years ago
• jph00 / hello_nbdev
  A tutorial example for nbdev
  ☆15Updated 3 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated last year
• shivam5992 / aster
  a python based module (bot) to generate kaggle baseline kernels
  ☆26Updated 7 years ago