OTML_DS3_2018

Practical sessions for the Optimal Transport and Machine learning course at DS3 2018

MIT License

Stars

Ecosystems: Jupyter Notebook

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Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, R...

Course notes and notebooks to teach the fundamentals of how deep learning works; uses PyTorch.

Introduction to scikit-learn: Machine Learning in Python

This is the public repo for the course HMMA238 'Software Development'

Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller

General Assembly's Data Science course in Washington, DC

Notebooks from DS3 course on practical optimization

Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from In...

Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller

Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn...

Scikit-learn tutorial at SciPy2016