Alternatives and similar repositories for data-scientist-ish

Users that are interested in data-scientist-ish are comparing it to the libraries listed below

• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated last year
• TomAugspurger / dask-tutorial-pycon-2018
  ☆136Updated 5 years ago
• mikepqr / serverless-for-data-scientists
  Code and notebooks for a talk given at PyBay, 2018-08-19
  ☆48Updated 4 years ago
• manifoldai / docker-cookiecutter-data-science
  A fork of the cookiecutter-data-science leveraging Docker for local development.
  ☆131Updated 5 years ago
• karthikmswamy / TFTutorials
  Contains code for understanding TensorFlow workflow and basics
  ☆51Updated 7 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• comet-ml / comet-for-mlflow
  Comet-For-MLFlow Extension
  ☆66Updated last year
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 7 years ago
• mkurovski / emnist_dl2prod
  JuPyter Notebooks and Python Package for Deep Learning Model Exploration, Translation and Deployment
  ☆30Updated 6 years ago
• bfortuner / ml-study
  ML Learning Sabbatical Study Materials
  ☆132Updated 8 years ago
• mikemull / Notebooks
  Ipython notebooks on various topics
  ☆67Updated 6 years ago
• jakevdp / ESAC-stats-2014
  Material for my lectures at the ESAC statistics conference, Oct 27-31 2014
  ☆68Updated 10 years ago
• amueller / COMS4995-s18
  COMS W4995 Applied Machine Learning - Spring 18
  ☆157Updated 6 years ago
• captainsafia / notebook-snippet-manager
  A Jupyter Notebook extension for managing code snippets
  ☆51Updated 7 years ago
• StephenElston / DataScience350
  Material for UW Extension Data Science 350
  ☆19Updated 7 years ago
• idealo / nvidia-docker-keras
  Workflow that shows how to train neural networks on EC2 instances with GPU support and compares training times to CPUs
  ☆60Updated last year
• rsibi / Springboard
  Springboard - Data Science Intensive course
  ☆13Updated 8 years ago
• justmarkham / pydata-dc-2016-tutorial
  Tutorial: Machine Learning with Text in scikit-learn
  ☆74Updated 8 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 6 years ago
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆81Updated 5 years ago
• jbwhit / OSCON-2015
  Code for my OSCON 2015 talk
  ☆83Updated 10 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
• parrt / ml-articles
  Articles on machine learning
  ☆65Updated 3 years ago
• datasailors / depend-on-docker
  Depend on Docker {DoD} is an open-source project that helps you containerize your software and make it easy to build, test, ship, and run…
  ☆51Updated 6 years ago
• dask / dask-tensorflow
  ☆92Updated 5 years ago
• GokuMohandas / oreilly-pytorch
  🔥 Introductory PyTorch tutorials with OReilly Media.
  ☆58Updated 3 years ago
• mewwts / feng
  feng - feature engineering for machine-learning champions
  ☆27Updated 8 years ago
• sravya8 / ML
  ☆35Updated 6 years ago
• Datamine / MNIST-K-Means-Clustering
  K-Means Clustering to Identify Handwritten Digits
  ☆46Updated 8 years ago
• TomAugspurger / pandas-head-to-tail
  ☆86Updated 7 years ago