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bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bootcamp

Caltech Introduction to Programming for the Biological Science Bootcamp

deepbayes-2018

Seminars DeepBayes Summer School 2018

dust

This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.

gp

A tutorial about Gaussian process regression

iapr-2019

image-processing

magenta

Magenta: Music and Art Generation with Machine Intelligence

ml_course

EPFL Machine Learning Course, Fall 2018

mpc-controller

Model Predictive Control implemented in C++

mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

scipy2014_tutorial

Tutorial: Bayesian Statistical Analysis in Python

sgan

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

unsupervised_rl_nn2018

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

v-rep-simulation-projects

Learning Robotics by Playing with V-REP

zya_bootcamp