Alternatives and similar repositories for dockerfiles

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

• radekosmulski / cifar10_docker
  ☆52Updated 7 years ago
• shik3519 / machine-learning
  Implementation of different machine learning techniques
  ☆94Updated 7 years ago
• vinayprabhu / Network_Science_Meets_Deep_Learning
  Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science
  ☆91Updated 6 years ago
• Startupsci / data-science-notebooks
  Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.
  ☆37Updated 5 years ago
• chiphuyen / tf-oreilly
  Code for O'Reilly's "A Short Course on TensorFlow"
  ☆105Updated 8 years ago
• cedrickchee / data-science-notebooks
  Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis …
  ☆93Updated 2 years ago
• bonzanini / VideoCourse-DataScienceRecipes
  Companion code for my video course on Practical Python Data Science Techniques, published by Packt Publishing
  ☆34Updated 8 years ago
• rasbt / mytorch
  Collection of PyTorch-related utility functions
  ☆29Updated 7 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• DebPanigrahi / Machine-Learning
  Machine learning algorithms
  ☆113Updated 6 years ago
• shik3519 / programming-concepts-for-data-science
  Basics of programming: algorithms, data structures, object oriented programming
  ☆93Updated 7 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆93Updated 2 years ago
• fastai / word-embeddings-workshop
  This contains materials for the word embeddings workshop
  ☆127Updated 8 years ago
• amauboussin / arxiv-twitterbot
  Twitterbot that uses machine learning to curate interesting arXiv papers
  ☆43Updated 7 years ago
• mikepqr / serverless-for-data-scientists
  Code and notebooks for a talk given at PyBay, 2018-08-19
  ☆49Updated 4 years ago
• rasbt / msu-datascience-ml-tutorial-2018
  Machine learning with Python tutorial at MSU Data Science 2018
  ☆112Updated 7 years ago
• hamelsmu / Docker_Tutorial
  Code and helper scripts for article on Medium "How Docker Can Help You Become A More Effective Data Scientist"
  ☆161Updated 5 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆33Updated 7 years ago
• mubaris / tensorflow-101
  Introduction to TensorFlow
  ☆22Updated 8 years ago
• sayakpaul / Benchmarking-and-MLI-experiments-on-the-Adult-dataset
  Contains benchmarking and interpretability experiments on the Adult dataset using several libraries
  ☆35Updated 6 years ago
• aakashns / servefastai
  Serve FastAI models and get a web-based UI with a single line of code
  ☆29Updated 6 years ago
• llSourcell / Research_to_Code
  This is the code for "Research to Code" By Siraj Raval on Youtube
  ☆57Updated 7 years ago
• brohrer / brohrer.github.io
  Public web page for brohrer
  ☆98Updated 5 years ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆57Updated 5 years ago
• rdipietro / jupyter-notebooks
  ☆78Updated 7 years ago
• gradescope / fsdl-text-recognizer-project
  Full Stack Deep Learning August 2018 Bootcamp Project (Public)
  ☆39Updated 4 years ago
• alessiamarcolini / deep-learning_best-practices
  ☆107Updated 7 years ago
• minimaxir / deep-learning-cpu-gpu-benchmark
  Repository to benchmark the performance of Cloud CPUs vs. Cloud GPUs on TensorFlow and Google Compute Engine.
  ☆66Updated 8 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 6 years ago
• radekosmulski / python_musings
  ☆36Updated 6 years ago