erachelson / MLclassLinks
My main Machine Learning class
☆63Updated 5 years ago
Alternatives and similar repositories for MLclass
Users that are interested in MLclass are comparing it to the libraries listed below
Sorting:
- legend☆209Updated 2 years ago
- Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how☆72Updated 5 years ago
- IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Sy…☆158Updated 3 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆137Updated 5 years ago
- PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3☆160Updated 5 years ago
- Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020☆124Updated 4 years ago
- Deep Learning from Scratch with PyTorch☆120Updated 5 years ago
- vanilla machine learning☆112Updated 2 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆294Updated 4 years ago
- Tutorial Sessions for SciPy Con 2019☆278Updated 4 months ago
- A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)☆165Updated 4 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆246Updated 3 years ago
- My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.☆72Updated last year
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆272Updated 3 years ago
- Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch☆154Updated 7 years ago
- General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python☆231Updated 4 years ago
- A python multi-variate time series prediction library working with sklearn☆100Updated 4 years ago
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆114Updated 7 months ago
- ☆232Updated 3 years ago
- Introduction to Uncertainty Quantification☆254Updated 3 years ago
- A tutorial about Gaussian process regression☆191Updated 5 years ago
- Bayesian Learning and Neural Networks (jupyter book sources)☆56Updated 2 years ago
- Anomaly detection tutorial on univariate time series with an auto-encoder☆190Updated 4 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆71Updated last month
- Presentation for time series analysis☆45Updated 7 years ago
- ☆39Updated 7 years ago
- Course material for 1RT700 Statistical Machine Learning☆64Updated last month
- Interpretable Machine Learning with Python, published by Packt☆475Updated last month
- ☆22Updated 5 years ago
- Material for learning and practicing the technique of multi-objective optimisation☆67Updated last year