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An implementation of the Glow generative model in jax and flax

Jupyter Notebook 8 1 Updated Apr 12, 2021

A PyTorch Implementation of Density Estimation Using Real NVP

Jupyter Notebook 69 13 Updated Mar 15, 2021

PyTorch implementation of realNVP

Python 85 16 Updated Sep 2, 2024

PyTorch implementation of Glow

Python 531 98 Updated Nov 20, 2021

Experiments with Deep Learning

Jupyter Notebook 1,348 268 Updated Mar 24, 2023

Pytorch implementation of the basic idea presented in https://arxiv.org/abs/2002.07101

Python 12 3 Updated Mar 25, 2020

A Collection of Variational Autoencoders (VAE) in PyTorch.

Python 6,988 1,107 Updated Jun 13, 2024

Applied Deep Learning Course

3,324 701 Updated Jan 28, 2023

My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

Jupyter Notebook 408 84 Updated Jan 31, 2022

PyTorch implementation of normalizing flow models

Python 805 120 Updated Aug 25, 2024

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

Python 3,139 516 Updated Jul 23, 2024

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

Python 614 103 Updated Jul 12, 2021

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

Jupyter Notebook 2,754 615 Updated Mar 16, 2025

PyTorch Tutorial for Deep Learning Researchers

Python 30,968 8,184 Updated Aug 15, 2023

Course notes

CSS 674 136 Updated Apr 23, 2024

(Multiblock) Partial Least Squares Regression for Python

Python 30 7 Updated Jan 14, 2020

Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)

Python 212 37 Updated Aug 7, 2024

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Python 59,248 6,011 Updated Aug 24, 2024

Implementation of "Improved Denoising Diffusion Probabilistic Models" in Pytorch

Python 40 3 Updated Aug 15, 2022

R-package implementation of Poincaré Embeddings for Learning Hierarchical Representations.

R 8 Updated Dec 7, 2019

[CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models

Python 829 123 Updated Mar 27, 2023

A simple tutorial of Diffusion Probabilistic Models

Jupyter Notebook 87 11 Updated Nov 30, 2024

PyTorch DDPM implementation

Python 745 110 Updated May 23, 2022

Implement a MNIST(also minimal) version of denoising diffusion probabilistic model from scratch.The model only has 4.55MB.

Python 98 16 Updated Dec 9, 2022

Providing reproducibility in deep learning frameworks

Python 429 38 Updated May 13, 2024

One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more

Python 1,927 219 Updated Sep 8, 2024

BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models

Python 345 38 Updated Aug 1, 2024

Self-contained, minimalistic implementation of diffusion models with Pytorch.

Python 930 127 Updated Jun 28, 2022

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

Python 732 78 Updated Jan 7, 2024

Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch

Python 1,641 222 Updated Jul 7, 2023
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