Alternatives and similar repositories for ml-study

Users that are interested in ml-study are comparing it to the libraries listed below

• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• tirthajyoti / Interactive_Machine_Learning
  IPython widgets, interactive plots, interactive machine learning
  ☆151Updated 6 years ago
• sravya8 / ML
  ☆35Updated 6 years ago
• kirit93 / NumpyTutorial
  Notebooks for tutorial on Numpy.
  ☆61Updated 5 years ago
• rasbt / msu-datascience-ml-tutorial-2018
  Machine learning with Python tutorial at MSU Data Science 2018
  ☆109Updated 7 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
  ☆92Updated 2 years ago
• ageron / tensorflow-safari-course
  ⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.
  ☆175Updated last year
• fastai / word-embeddings-workshop
  This contains materials for the word embeddings workshop
  ☆127Updated 8 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆197Updated 8 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• chiphuyen / tf-oreilly
  Code for O'Reilly's "A Short Course on TensorFlow"
  ☆104Updated 8 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆248Updated 6 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
• ssanderson / foundations-of-numerical-computing
  Lecture Slides, Exercises, and Deployment Materials for "Foundations of Numerical Computing"
  ☆81Updated 2 years ago
• neerjad / DataVisualization
  Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
  ☆269Updated 5 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆80Updated 8 years ago
• philipperemy / advanced-deep-learning-keras
  File repository for the course [Advanced Deep Learning with Keras]. Packt Publishing.
  ☆27Updated 7 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 7 years ago
• yanneta / deep-learning-with-pytorch
  ☆49Updated 5 years ago
• rasbt / pydata-chicago2016-ml-tutorial
  Machine learning with scikit-learn tutorial at PyData Chicago 2016
  ☆128Updated 8 years ago
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆81Updated 5 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆118Updated 9 years ago
• Spandan-Madan / lectures_and_talks
  Collection of lectures and talks I've given on Computer Vision and Deep Learning
  ☆28Updated 7 years ago
• UWSEDS / LectureNotes
  Lecture content for UW Software Engineering for Data Scientists
  ☆102Updated last year
• AdrienLE / dl_book_notes
  ☆60Updated 7 years ago
• bksahu / 100DaysOfMLCode
  I am taking up the #100DaysOfMLCode Challenge 😎
  ☆14Updated 6 years ago
• jayinai / how-to-kaggle
  A research into the workflow for Kaggle competition (and data science in general) collaboratively
  ☆48Updated 8 years ago
• harkous / production_ml
  A Guide to Scaling Machine Learning Models in Production
  ☆88Updated 7 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago