buelentuendes Goto Github PK

60_days_rl_challenge

Learn Deep Reinforcement Learning in Depth in 60 days

audiosignalprocessingforml

This is a fork for the Youtube Course "Audio Signal Proessing for Machine Learning"

brain_imaging_vu

This is the repo for the Master Course 'Brain imaging' at the Vrije Universiteit Amsterdam 2022.

buelentuendes

buelentuendes.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

cp_4_graphs

In this repo, I implement, compare and reproduce results for different conformal prediction methods for various graph machine learning models.

cpsc340

UBC CPSC 340: Machine Learning and Data Mining (2016W2)

css-exercises

A couple of CSS exercises to get comfortable writing CSS code.

dt8122-2022

Project assignment for the Probabilistic AI course (DT8122) at NTNU.

fastshap

An amortized approach for calculating local Shapley value explanations

gans

gefm

Sparse signal recovery via generalized entropy functions minimization

genmodelling

Teaching material for Generative modelling lectures in AI Summer School @ KAUST

gh-events

informationtheoryexperiment

Code used for information theory analysis of deep neural networks using matrix--based renyi's entropy and tensor kernels.

intro_dgm

"Deep Generative Modeling": Introductory Examples

julia-ml-course

Julia Programming for Machine Learning course at TU Berlin

lfa

Local function approximation (LFA) framework, NeurIPS 2022

lstg

Local Stochastic Gates Model Example

ml4qs

Code belonging to the book machine learning for the quantified self.

odin-recipes

practical_sessions_rl

This the RL summerschool repo that i worked on

probai-2022

Materials of the Nordic Probabilistic AI School 2022.

python-dev-tips

Minimal package to demonstrate good Python development habits

real-x

This is a fork for the Real-X paper

reinforcement_learning_bgse

This is the repo for the course 'Reinforcement learning' taught at the Barcelona School of Economics. Each folder includes the assignments for the course as well as lecture material.

repro_paper

second-action-react-demo

uva-fact-ai-course

This repository contains implementations of algorithms proposed in recent papers from top machine learning conferences on Fairness, Accountability, Confidentiality, and Transparency (FACT). These were implemented as part of the FACT-AI course at the University of Amsterdam.

vae_playground