markkm / math-for-ml
Mathematical preliminaries for machine learning
☆19Updated 6 years ago
Alternatives and similar repositories for math-for-ml:
Users that are interested in math-for-ml are comparing it to the libraries listed below
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 6 years ago
- ☆64Updated 6 years ago
- Slides, Jupyter Notebooks and scripts for the Deep Learning: Do-It-Yourself! lectures at ENS☆21Updated 4 years ago
- ☆30Updated 4 years ago
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 7 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆133Updated 4 years ago
- MLHEP-18 slides and stuff☆26Updated 6 years ago
- Curated materials for different machine learning related summer schools☆19Updated 3 years ago
- Machine Learning in High Energy Physics 2016☆76Updated 5 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆99Updated 3 years ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- Experiments in Bayesian Machine Learning☆69Updated 5 years ago
- Short Course on Optimization for Machine Learning - Slides and Practical Labs - DS3 Data Science Summer School, June 24 to 28, 2019, Pari…☆20Updated 5 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- ☆14Updated 4 years ago
- Auxiliary variable Markov chain Monte Carlo methods☆10Updated 7 years ago
- A open source book covering the foundational maths of deep learning and machine learning using TensorFlow☆33Updated 6 years ago
- Slides and notebooks for the IfI Summer School 2018 on Machine Learning☆36Updated 6 years ago
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆108Updated last week
- Code examples for my Interpretable Machine Learning Blog Series☆56Updated 4 years ago
- ☆12Updated 7 years ago
- A pytorch version of hamiltonian monte carlo☆13Updated 5 years ago
- List of awesome JAX resources☆13Updated 2 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)☆27Updated 7 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- heptrkx-ctd☆18Updated 7 years ago
- A differentiation API for PyTorch☆30Updated 4 years ago
- PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3☆15Updated 7 years ago
- Basic probability manipulation routines for discrete variables☆29Updated 7 years ago