This is an advanced example, providing an implementation of a U-Net architecture. This version is intended for use in a score-based diffusion, ... |
Honyant/jax-3d-unet: Training a 3D U-Net with JAX on ... - GitHub github.com › Honyant › jax-3d-unet
This repository contains code for training a 3D U-Net with JAX, using equinox as a deep learning library. This code has been tested on TPUv3-8 and 8xV100 ... |
Videolar All the handwritten notes and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation ... |
Requires Python 3.10+ and JAX 0.4.13+. JAX install guide. Quickstart¤. Train a UNet to become an emulator for the 1D Poisson equation. |
Equinox is your one-stop JAX library, for everything you need that isn't already in core JAX: and best of all, Equinox isn't a framework. All of Equinox · CNN on MNIST example · Train RNN · Extra features |
25 мар. 2024 г. · Check out my latest video on implementing a simple UNet in JAX & Equinox to become a solver to the 1d Poisson problem: https://youtu.be ... |
11 янв. 2024 г. · These images summarise our last article, "Low-Scale Latent Diffusion Models". Find the whole article in our website: ... |
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