Deep Vector Quantization. Turn images into sequences of numbers that AI models can learn from.

github.com/karpathy/deep-vector-quantization

Problem

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Audience

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Market

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Vaya's read on this project

Problem, audience, market, and the verdict — sign in to see it.

Updates

March 2021

bunch of changes and hygiene. everything still needs much tuning Mar 2

February 2021

refactoring the skeleton to create a modular loss function, an L2 los… Feb 28
refactoring the api to make it more modular and symmetric, args clean… Feb 28
sequester loss-related stuff to its own file to reduce clutter Feb 28
add openai dall-e models as options for training Feb 28
ramp/decay alpha, beta, tau as openai describes in dall-e roouughly. … Feb 28
make model properly own its args Feb 28
just putting some lipstick on a pig Feb 27
reshuffling the code around a bit as a step 1 of conforming a bit bet… Feb 27
refactoring code structure into more modular form in preparation for … Feb 27
Merge branch 'main' of github.com:karpathy/deep-vector-quantization i… Feb 17
apply commitment loss to to the other term, ty @CDitzel Feb 17
Update README.md Feb 16
president's day h4xzoring on vqvaes Feb 16