albarji/toy-diffusion

Stars
4
Rank 3,304,323 (Top 66 %)
Language
Jupyter Notebook
License
MIT License
Created over 1 year ago
Updated 12 months ago

albarji/toy-diffusion

albarji

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

A toy implementation of a diffusion model for low-dimensional data

mixture-of-diffusers

Mixture of Diffusers for scene composition and high resolution image generation

proxTV

Matlab and Python toolbox for fast Total Variation proximity operators

neural-style-docker

A dockerized version of neural style transfer algorithms

neurowriter

Framework to imitate writing styles using deep learning

deeprl-snes

Deep Reinforcement Learning methods to learn plays SNES games

curso-analisis-textos

Curso de análisis de textos con técnicas de aprendizaje automático

Jupyter Notebook

big-things-2019

Source code and data for my talk at Big Things 2019

Jupyter Notebook

spainAI_hackathon_2020_pln

Solution awarded with #2 prize at the PLN task of the SpainAI Hackathon 2020

Jupyter Notebook

teaching-environments

Some conda environments I use for my lectures on machine learning

caffe-demos

Data files and scripts to run Caffe deep learning demos

texata2015-finals

Submission for Texata final round

svm-playground

A playground to experiment with Support Vector Machine models in a visual way

Jupyter Notebook

texata2015-round1

Notebook for the ideal solution of the first round in the Texata 2015 competition

quantum-experiments

Some experiments with quantum computing

Jupyter Notebook

teachingbox

A Vagrant box I use for my machine learning lectures

guertena

Guertena is an easy to use, quality oriented python library for neural style transfer.

style-swap-docker

A dockerized version of the Style Swap algorithm by rtqichen

teaching-environments-deeplearning

Environments for Deep Learning lectures

deeprl-pong

Learning to play Pong through Deep Reinforcement Learning methods

keras-gradcam-demo

Notebook demo on how to use Keras to classify images with Xception net, and obtain visual explanations with Grad-CAM

Jupyter Notebook

babellibrary

Some simple scripts to generate a book from the Library of Babel