hal3 / cimlLinks
A Course in Machine Learning
☆902Updated 2 years ago
Alternatives and similar repositories for ciml
Users that are interested in ciml are comparing it to the libraries listed below
Sorting:
- A-Paper-A-Week☆951Updated last year
- Topics Course on Deep Learning UC Berkeley☆1,304Updated 7 years ago
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆310Updated 4 years ago
- The probability and statistics cookbook☆2,284Updated 2 years ago
- Exercises for the Deep Learning textbook at www.deeplearningbook.org☆1,389Updated 3 years ago
- ☆265Updated 8 years ago
- Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc☆524Updated 4 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆378Updated 10 years ago
- ☆576Updated 7 years ago
- Exercises for my tutorials on Theano☆686Updated 9 years ago
- A collection of video resources for machine learning☆1,552Updated 4 years ago
- Notebook to download machine learning flashcards☆457Updated 5 years ago
- A tool that translates augmented markdown into HTML or latex☆470Updated 3 years ago
- Notes on writing☆542Updated 3 years ago
- IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)☆564Updated last year
- Oxford Deep NLP 2017 course - Practical 1: word2vec☆254Updated 4 years ago
- Course notes for CS228: Probabilistic Graphical Models.☆1,972Updated 3 months ago
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,812Updated 5 years ago
- General Assembly's Data Science course in Washington, DC☆800Updated 4 years ago
- Scikit-learn tutorial at SciPy2016☆518Updated 6 years ago
- Learn machine learning for free, because free is better than not-free.☆228Updated 5 years ago
- Python coded examples and documentation of machine learning algorithms.☆610Updated 5 years ago
- Code companion to the O'Reilly "Fundamentals of Deep Learning" book☆662Updated 2 years ago
- ☆877Updated 5 years ago
- 📚 A detailed guide to deep learning: http://yerevann.com/a-guide-to-deep-learning/☆214Updated 4 years ago
- the best machine learning tutorials on the web☆472Updated 14 years ago
- Metacademy.org's application code☆690Updated 2 years ago
- My notes and superstitions about common machine learning algorithms☆367Updated 8 years ago
- A collection of Kaggle solutions. Not very polished.☆768Updated 7 years ago
- Public material for CS109☆1,480Updated 2 years ago