Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun
[CVPR 2021] Adversarial Generation of Continuous Images
Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
An unofficial pytorch implementation of 《Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains》
Official PyTorch implementation for "Towards Lightweight Controllable Audio Synthesis with Conditional Implicit Neural Representations".
Unofficial implementation of Siren with Jax for image representation.
An unofficial implementation of Neural Lumigraph Rendering in TensorFlow 2.
A collection of conditional \ modulatable implicit neural representation implementations and basic building blocks in PyTorch.
Using fourier feature mapping Strengthen GON (《Gradient Origin Networks》)'s performance
Generic HNAP client and specialized clients for motion sensorts, sirens, routers, water detectors and more.
Turn your Raspberry Pi into a siren box for your car!
Unofficial SIRENs implementation using Tensorflow 2.
A Simple Burglar Protector with Siren, database for storage of time and date of intruder
Python alarm tone/siren generator
Pytorch based unofficial implementation of "Multiplicative Filter Networks" paper by Fathony, Sahu, Willmott, & Kolter at ICLR 2021.
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