Alternatives and similar repositories for ML4all

Users that are interested in ML4all are comparing it to the libraries listed below

• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆536Updated 6 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆311Updated 5 years ago
• data-umbrella / data-umbrella-scikit-learn-sprint
  scikit-learn sprint docs
  ☆185Updated last year
• MrGeislinger / flatiron-school-data-science-curriculum-resources
  Lesson material on data science and machine learning topics/concepts
  ☆150Updated 4 years ago
• matthewbrems / missing-data-workshop
  Matt Brems' Missing Data Workshop
  ☆83Updated 2 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆247Updated 3 years ago
• DeltaAnalytics / machine_learning_for_good
  Machine learning fundamentals lesson in interactive notebooks
  ☆179Updated 4 years ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 3 years ago
• knathanieltucker / data-science-foundations
  ☆87Updated 2 years ago
• rasbt / stat479-machine-learning-fs19
  Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
  ☆753Updated 4 years ago
• rasbt / stat453-deep-learning-ss20
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
  ☆572Updated 5 years ago
• stephencwelch / dsgo-dl-workshop-summer-2020
  Deep Learning Workshop for Data Science Go Virtual Event Summer 2020
  ☆36Updated 3 years ago
• FisherKK / F1sherKK-MyRoadToAI
  Repository for storing and tracking my self-study progress.
  ☆215Updated 4 years ago
• rugantio / MachineLearningCourse
  A collection of notebooks of my Machine Learning class written in python 3
  ☆44Updated 7 years ago
• hundredblocks / ml-powered-applications
  Companion repository for the book Building Machine Learning Powered Applications
  ☆679Updated 2 years ago
• solliancenet / udacity-intro-to-ml-labs
  ☆81Updated 4 years ago
• tdg5 / stats-learning-notes
  Notes from Introduction to Statistical Learning
  ☆117Updated 7 years ago
• gutfeeling / univariate-linear-regression
  The data science project used in my Datacamp course Unit Testing for Data Science in Python
  ☆143Updated 2 years ago
• tirthajyoti / Deep-learning-with-Python
  Deep learning codes and projects using Python
  ☆357Updated 4 years ago
• UCB-MIDS / w241
  This is the course repository for w241 and 290 -- Experiments and Causality.
  ☆17Updated 4 years ago
• FilippoBovo / production-data-science
  Production Data Science: a workflow for collaborative data science aimed at production
  ☆454Updated 5 years ago
• davidyakobovitch / data_science_resources
  📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines
  ☆159Updated 2 years ago
• jbernhard-nw / rec-workshop
  Getting started
  ☆18Updated 5 years ago
• kozyrkov / deep-learning-tutorial
  SuperComputing 2017 Deep Learning Tutorial
  ☆30Updated 7 years ago
• Samreay / DSGoPipeline
  A short workshop on datascience pipelines using mlflow and airflow
  ☆53Updated 2 years ago
• aiplanethub / Machine_Learning_Bootcamp
  ☆89Updated 4 years ago
• hugobowne / deep-learning-from-scratch-pytorch
  Deep Learning from Scratch with PyTorch
  ☆118Updated 5 years ago
• Harvard-IACS / 2018-CS109A
  Repository for CS109A Fall 2018
  ☆148Updated 4 years ago
• rasbt / stat479-machine-learning-fs18
  Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
  ☆493Updated 6 years ago
• aajains / springboard-datascience-intensive
  ☆35Updated 7 years ago