Alternatives and similar repositories for ml-glossary

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

• christophM / interpretable-ml-book
  Book about interpretable machine learning
  ☆4,999Updated 2 months ago
• afshinea / stanford-cs-230-deep-learning
  VIP cheatsheets for Stanford's CS 230 Deep Learning
  ☆6,584Updated 5 years ago
• wzchen / probability_cheatsheet
  A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
  ☆3,096Updated 3 years ago
• dipanjanS / practical-machine-learning-with-python
  Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveragi…
  ☆2,332Updated last year
• hadrienj / deepLearningBook-Notes
  Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
  ☆1,782Updated 5 years ago
• fastai / numerical-linear-algebra
  Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
  ☆10,523Updated last year
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,052Updated last week
• Machine-Learning-Tokyo / Interactive_Tools
  Interactive Tools for Machine Learning, Deep Learning and Math
  ☆2,758Updated 10 months ago
• chiphuyen / stanford-tensorflow-tutorials
  This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
  ☆10,354Updated 4 years ago
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆5,026Updated 4 months ago
• fchollet / deep-learning-with-python-notebooks
  Jupyter notebooks for the code samples of the book "Deep Learning with Python"
  ☆19,265Updated 2 weeks ago
• Atcold / NYU-DLSP20
  NYU Deep Learning Spring 2020
  ☆6,762Updated this week
• mml-book / mml-book.github.io
  Companion webpage to the book "Mathematics For Machine Learning"
  ☆14,198Updated 3 months ago
• ritchieng / the-incredible-pytorch
  The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
  ☆11,935Updated 5 months ago
• rasbt / deep-learning-book
  Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
  ☆2,802Updated 4 years ago
• aleju / papers
  Summaries of machine learning papers
  ☆2,507Updated 4 years ago
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,436Updated 3 weeks ago
• tensorflow / lucid
  A collection of infrastructure and tools for research in neural network interpretability.
  ☆4,693Updated 2 years ago
• keras-team / autokeras
  AutoML library for deep learning
  ☆9,239Updated 6 months ago
• chiphuyen / machine-learning-systems-design
  A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
  ☆9,454Updated 2 years ago
• kmario23 / deep-learning-drizzle
  Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…
  ☆12,595Updated 8 months ago
• fastai / fastbook
  The fastai book, published as Jupyter Notebooks
  ☆23,204Updated 10 months ago
• afshinea / stanford-cs-221-artificial-intelligence
  VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
  ☆2,748Updated 5 years ago
• fastai / fastai
  The fastai deep learning library
  ☆27,064Updated 2 weeks ago
• dustinvtran / ml-videos
  A collection of video resources for machine learning
  ☆1,546Updated 4 years ago
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,354Updated 4 months ago
• afshinea / stanford-cs-229-machine-learning
  VIP cheatsheets for Stanford's CS 229 Machine Learning
  ☆18,255Updated 5 years ago
• brylevkirill / notes
  Learn about Machine Learning and Artificial Intelligence
  ☆918Updated 3 years ago
• jacobeisenstein / gt-nlp-class
  Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
  ☆5,005Updated 2 years ago
• janishar / mit-deep-learning-book-pdf
  MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
  ☆13,366Updated last year