WayneDW / More-than-AlgorithmsLinks
Refresh algorithms using C++ and Python
☆13Updated 3 years ago
Alternatives and similar repositories for More-than-Algorithms
Users that are interested in More-than-Algorithms are comparing it to the libraries listed below
Sorting:
- Files associated to the "Hunting Performance in Python Code" blog series - https://pythonfiles.wordpress.com/2017/05/15/hunting-python-pe…☆42Updated 8 years ago
- Python, so easy, wow!☆139Updated 4 years ago
- Solutions in Python for Kevin Murphy's Machine Learning: a Probabilistic Perspective☆53Updated 8 years ago
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆148Updated 4 years ago
- Personal and biased selection of ML resources☆151Updated 5 years ago
- ☆73Updated 6 years ago
- DS-GA 1003: Machine Learning Course Webpage☆15Updated 2 years ago
- A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesian-linear-regression/☆82Updated 8 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- deeplearning.ai☆37Updated 7 years ago
- 🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign☆283Updated 6 years ago
- Resources for STA 633 class☆169Updated 8 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆163Updated 10 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆135Updated 5 years ago
- ☆90Updated 6 years ago
- 32/2384 Solution to Kaggle Mercari Competition (solo silver medal winner)☆21Updated 7 years ago
- STATS385 course website☆89Updated 2 years ago
- ☆83Updated 8 years ago
- some source code for some online judge☆40Updated 8 years ago
- My personal reference for Tensorflow☆153Updated 8 years ago
- Collaborative lecture notes for Spring '19 NYU DL class☆119Updated 5 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆157Updated 6 years ago
- Collection of probabilistic models and inference algorithms☆241Updated 5 years ago
- papers on scalable and efficient machine learning systems☆192Updated 6 years ago
- Awesome tools make life better.☆34Updated 5 years ago
- Notebooks, worksheets and homework for STA 663 class☆43Updated 8 years ago
- Enumerate diverse machine learning training tricks.☆421Updated 8 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆293Updated 7 years ago
- ☆104Updated 6 years ago
- ☆92Updated 10 years ago