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vvvm23

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AI Engineer and Computery Guy 🖥️ Interested in deep generative modelling and unsupervised representation learning.

Funding Links: https://github.com/sponsors/vvvm23

GitHub Sponsors Profile

I am Alex, a UK-based AI research engineer and computery guy ~ I specialise primarily in generative modelling and unsupervised representation learning methods.
I like to create open-source reproductions of recent advancements in machine learning research, write teaching resources, and experiment randomly ~ I've been learning about machine learning for about 6 years now.
Right now, I am focusing mainly on distributed PyTorch, multimodal models, and learning JAX.
I use Arch btw..

Featured Works

vvvm23/vqvae-2

PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"

Language: Python - Stars: 141
vvvm23/sundae

Unofficial PyTorch implementation of "Step-unrolled Denoising Autoencoders for Text Generation"

Language: Python - Stars: 23
vvvm23/mezo-jax

JAX implementation of "Fine-Tuning Language Models with Just Forward Passes"

Language: Python - Stars: 20
vvvm23/sundae-vqgan

Official Code for Paper "Megapixel Image Generation with Step-Unrolled Denoising Autoencoders"

Language: Python - Stars: 4
vvvm23/stoi-vqcpc

Repository for paper "Non-intrusive speech intelligibility prediction from discrete latent representations"

Language: Python - Stars: 10
vvvm23/ptpt

PyTorch Personal Trainer: My framework for deep learning experiments

Language: Python - Stars: 10

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