Alternatives and similar repositories for Octave:

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

• everpeace / ml-class-assignments
  Programming Exercises on http://ml-class.org
  ☆432Updated 2 years ago
• Borye / machine-learning-coursera-1
  This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course.
  ☆1,125Updated 5 years ago
• yhyap / machine-learning-coursera
  Programming assignments from Coursera's Machine Learning course taught by Andrew Ng.
  ☆225Updated 6 years ago
• merwan / ml-class
  Machine learning programming exercises
  ☆316Updated 7 years ago
• DragonflyStats / Coursera-ML
  Machine Learning with Coursera
  ☆384Updated last week
• rieder91 / MachineLearning
  Exercises for the Stanford/Coursera Machine Learning Class
  ☆248Updated 12 years ago
• JWarmenhoven / Coursera-Machine-Learning
  Coursera Machine Learning - Python code
  ☆865Updated 4 years ago
• lukaemon / Coursera-ML-AndrewNg
  use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm
  ☆922Updated 6 years ago
• tjaskula / Coursera
  These are my learning exercices from Coursera
  ☆218Updated 3 years ago
• ngavrish / coursera-machine-learning-1
  Coursera's Machine Learning by Andrew Ng
  ☆349Updated 6 years ago
• gopaczewski / coursera-ml
  Completed assignments from Coursera Machine Learning course - March 2014
  ☆112Updated 7 years ago
• quinnliu / machineLearning
  supervised & unsupervised algorithms from Andrew Ng's machine learning class
  ☆0Updated 3 years ago
• zhouxc / Stanford-Machine-Learning-Course
  machine learning course programming exercise
  ☆528Updated 13 years ago
• AvaisP / machine-learning-programming-assignments-coursera-andrew-ng
  Solutions to Andrew NG's machine learning course on Coursera
  ☆388Updated 5 years ago
• reshamas / fastai_deeplearn_part1
  Notes for Fastai Deep Learning Course
  ☆1,125Updated last year
• llSourcell / The_Math_of_Intelligence
  This is the Syllabus for Siraj Raval's new course "The Math of Intelligence"
  ☆395Updated 7 years ago
• amueller / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆514Updated 5 years ago
• amaas / stanford_dl_ex
  Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
  ☆2,604Updated 3 years ago
• the-deep-learners / TensorFlow-LiveLessons
  "Deep Learning with TensorFlow" LiveLessons
  ☆884Updated 4 months ago
• sachinruk / deepschool.io
  Deep Learning tutorials in jupyter notebooks.
  ☆1,814Updated last year
• vugsus / coursera-machine-learning
  Coursera's Machine Learning by Andrew Ng
  ☆345Updated 3 years ago
• benoitvallon / coursera-machine-learning
  ☆95Updated 4 years ago
• kuleshov / teaching-material
  Teaching materials for the machine learning and deep learning classes at Stanford and Cornell
  ☆1,108Updated 4 years ago
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆613Updated 4 years ago
• adeshpande3 / Tensorflow-Programs-and-Tutorials
  Implementations of CNNs, RNNs, GANs, etc
  ☆1,053Updated 6 years ago
• Kulbear / deep-learning-nano-foundation
  Udacity's Deep Learning Nano Foundation program.
  ☆392Updated 7 years ago
• kaleko / CourseraML
  I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter…
  ☆2,031Updated 6 years ago
• mstampfer / Coursera-Stanford-ML-Python
  Coursera/Stanford Machine Learning course assignments in python
  ☆447Updated 4 years ago
• tuanavu / coursera-university-of-washington
  University of Washington
  ☆327Updated 7 years ago