Alternatives and similar repositories for ML4all

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

• Harvard-IACS / 2021-ComputeFest
  ☆45Updated 2 years ago
• stephencwelch / dsgo-dl-workshop-summer-2020
  Deep Learning Workshop for Data Science Go Virtual Event Summer 2020
  ☆36Updated 3 years ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 3 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆311Updated 5 years ago
• matthewbrems / missing-data-workshop
  Matt Brems' Missing Data Workshop
  ☆83Updated 2 years ago
• hundredblocks / ml-powered-applications
  Companion repository for the book Building Machine Learning Powered Applications
  ☆688Updated 2 years ago
• davidyakobovitch / data_science_resources
  📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines
  ☆161Updated 3 years ago
• MrGeislinger / flatiron-school-data-science-curriculum-resources
  Lesson material on data science and machine learning topics/concepts
  ☆151Updated 4 years ago
• FisherKK / F1sherKK-MyRoadToAI
  Repository for storing and tracking my self-study progress.
  ☆216Updated 4 years ago
• FilippoBovo / production-data-science
  Production Data Science: a workflow for collaborative data science aimed at production
  ☆454Updated 5 years ago
• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆541Updated 6 years ago
• DeltaAnalytics / machine_learning_for_good
  Machine learning fundamentals lesson in interactive notebooks
  ☆179Updated 4 years ago
• Samreay / DSGoPipeline
  A short workshop on datascience pipelines using mlflow and airflow
  ☆53Updated 2 years ago
• the-deep-learners / study-group
  Deep Learning Study Group
  ☆328Updated 4 years ago
• data-umbrella / data-umbrella-scikit-learn-sprint
  scikit-learn sprint docs
  ☆185Updated last year
• INRIA / scikit-learn-mooc
  Machine learning in Python with scikit-learn MOOC
  ☆1,273Updated last week
• rasbt / stat479-machine-learning-fs18
  Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
  ☆492Updated 6 years ago
• tirthajyoti / Deep-learning-with-Python
  Deep learning codes and projects using Python
  ☆362Updated 4 years ago
• Harvard-IACS / 2020-ComputeFest
  ☆48Updated 5 years ago
• ritchieng / deep-learning-wizard
  Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
  ☆859Updated 3 weeks ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• ADGEfficiency / teaching-monolith
  Data science teaching materials
  ☆152Updated 7 months ago
• jonkrohn / DLTFpT
  Deep Learning with TensorFlow, Keras, and PyTorch
  ☆645Updated last year
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆247Updated 3 years ago
• tdg5 / stats-learning-notes
  Notes from Introduction to Statistical Learning
  ☆118Updated 7 years ago
• mrdbourke / cs329s-ml-deployment-tutorial
  Code and files to go along with CS329s machine learning model deployment tutorial.
  ☆609Updated 2 years ago
• davidyakobovitch / data_science_standards
  Data Science Standards - Framework to Productionize Projects throughout the Data Science and Production Solution Lifecycle
  ☆45Updated 3 years ago
• noahgift / Python-MLOps-Cookbook
  This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.
  ☆417Updated 8 months ago
• shilpa9a / Introduction_to_statistical_learning_summary_python
  Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.
  ☆185Updated last year
• dair-ai / pytorch_notebooks
  🔥 A collection of PyTorch notebooks for learning and practicing deep learning
  ☆581Updated 2 years ago