Alternatives and similar repositories for deep-learning-walkthrough

Users that are interested in deep-learning-walkthrough are comparing it to the libraries listed below

• kozyrkov / deep-learning-tutorial
  SuperComputing 2017 Deep Learning Tutorial
  ☆30Updated 7 years ago
• google-aai / sc17
  SuperComputing 2017 Deep Learning Tutorial
  ☆213Updated 7 years ago
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆81Updated 5 years ago
• jalajthanaki / DataScience_Interview_Seminar
  This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview
  ☆40Updated 6 years ago
• dipanjanS / art_of_data_visualization
  The art of effective visualization of multi-dimensional data
  ☆157Updated 6 years ago
• cs109 / 2018-cs109a
  Official Public site for CS109a Fall 2018
  ☆34Updated 7 years ago
• DeltaAnalytics / machine_learning_for_good
  Machine learning fundamentals lesson in interactive notebooks
  ☆178Updated 4 years ago
• bgweber / DS_Production
  ☆155Updated 4 years ago
• ml874 / machine_learning_examples
  A collection of machine learning examples and tutorials.
  ☆31Updated 7 years ago
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆49Updated 6 years ago
• brohrer / brohrer.github.io
  Public web page for brohrer
  ☆98Updated 4 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆141Updated 5 years ago
• aswalin / Outlier-Impact-Treatment
  The goal of this repository is to detect the outliers for a dataset & see the impact of these outliers on predictive models
  ☆23Updated 7 years ago
• lavanyashukla / neural_networks
  ☆50Updated 4 years ago
• parulnith / Explainable-AI-Workshop
  ☆17Updated last year
• dataquestio / data-science-blogs
  A curated list of data science blogs
  ☆44Updated 5 years ago
• rctatman / minimal_flask_example_heroku
  ☆21Updated 5 years ago
• brohrer / byo_decision_tree
  Code and data to accompany the Udemy course End-to-end data science: decision trees
  ☆16Updated 4 years ago
• bgweber / StartupDataScience
  ☆292Updated 6 years ago
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆62Updated 4 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated 9 months ago
• dziganto / Data_Science_Fundamentals
  ☆102Updated 6 years ago
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆66Updated 2 years ago
• LearnDataSci / data-science-blogs
  A curated list of data science blogs
  ☆41Updated 8 years ago
• brohrer / academic_advisory
  Collected opinions and advice for academic programs focused on data science skills.
  ☆443Updated 4 years ago
• AileenNielsen / OReillyHealthcareData
  ☆40Updated 7 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 2 years ago
• alexeygrigorev / datascience-recruitment-challenges
  Home assignments for data science positions
  ☆154Updated 2 years ago
• raghavbali / appliedml_workshop_dhs_av_2019
  Content for Applied ML Workshop @ DataHack Summit 2019
  ☆25Updated 5 years ago