Alternatives and similar repositories for py-notebooks

Users that are interested in py-notebooks are comparing it to the libraries listed below

• goldentom42 / py_ml_utils
  Python utilities for Machine Learning competitions
  ☆32Updated 8 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 7 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated 2 years ago
• bhupinders / DS-Competitions
  Machine Learning Competitions
  ☆15Updated 8 years ago
• analyticsvidhya / LordOftheMachines
  Codes related to Lord of the Machines hackathon
  ☆10Updated 7 years ago
• drivendataorg / power-laws-cold-start
  ☆24Updated 2 years ago
• jfpuget / metrics
  Python implementation of machine learning metrics
  ☆14Updated 7 years ago
• alessiamarcolini / deep-learning_best-practices
  ☆107Updated 7 years ago
• aayushmnit / Data-science-presentation
  Collection of presentation of my work on various platforms and meetups
  ☆22Updated 6 years ago
• StephenElston / DataScience350
  Material for UW Extension Data Science 350
  ☆19Updated 7 years ago
• shivam5992 / aster
  a python based module (bot) to generate kaggle baseline kernels
  ☆26Updated 7 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆118Updated 9 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 6 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 3 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 6 years ago
• mxbi / ftim
  Feature-Time Instability Metric
  ☆44Updated 9 years ago
• yanneta / deep-learning-with-pytorch
  ☆49Updated 5 years ago
• jayinai / kaggle-regression
  A compiled list of kaggle competitions and their winning solutions for regression problems.
  ☆149Updated 9 years ago
• Laurae2 / CategoricalAnalysis
  Analysis of Categorical Encodings for dense Decision Trees
  ☆41Updated 8 years ago
• jayinai / kaggle-sequence
  A compiled list of kaggle competitions and their winning solutions for sequence problems.
  ☆35Updated 9 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• mxbi / mlnd-capstone
  ML Nanodegree Capstone Project - Predicting NYC Taxi Trip Duration
  ☆12Updated 7 years ago
• Cardal / Kaggle_WestNileVirus
  Winning solution for the Kaggle "West Nile Virus" competition (2015)
  ☆30Updated 10 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated last year
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 6 months ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• jeongyoonlee / kaggler-template
  Template for data science competitions. Includes makefiles and Python scripts for feature engineering, cross validation, ensemble, etc.
  ☆45Updated 5 years ago
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆82Updated 5 years ago
• shik3519 / programming-concepts-for-data-science
  Basics of programming: algorithms, data structures, object oriented programming
  ☆93Updated 7 years ago
• timdavidlee / learning-deep
  All my deep learning notes: contains v1 of machine learning with Jeremy Howard, and v1 of Fastai Deep Learning 2018 part 1
  ☆69Updated 7 years ago