taesd
Autoencoder
A Tiny AutoEncoder implementation for Stable Diffusion's image generation model
Tiny AutoEncoder for Stable Diffusion
602 stars
11 watching
28 forks
Language: Python
last commit: about 1 year ago
Linked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| | A software framework for semi-supervised generative Autoencoder models applied to single-cell data analysis. | 18 |
| | A Python library for running state-of-the-art diffusion models, supporting text-to-image and image-to-image generation. | 399 |
| | Automatically trains models from large foundation models to perform specific tasks with minimal human intervention. | 2,022 |
| | An implementation of Adversarially Regularized Autoencoders for language generation and discrete structure modeling. | 400 |
| | An implementation of Adversarial Autoencoders using PyTorch for training neural networks on structured data. | 199 |
| | This software enables the creation of deep learning networks with stacked auto-encoders and fine-tunes them using backpropagation for image classification tasks. | 41 |
| | An implementation of a masked autoencoder density estimation model in PyTorch | 541 |
| | A system for real-time RGB-based object detection and 6D pose estimation using a novel autoencoder-based approach. | 345 |
| | Automated deep learning algorithm that performs feature engineering, model selection, and hyperparameter tuning without human intervention. | 1,140 |
| | Creates detailed images by upscaling and refining Stable Diffusion outputs | 695 |
| | A library of autoencoders for sequential data | 435 |
| | Tools and utilities for generating encoded versions of input data | 9 |
| | A tool for training and analyzing sparse autoencoders to improve the understanding of neural networks and create safer AI systems. | 526 |
| | Automated Machine Learning library for Python | 1,500 |
| | An open-source software project for generating images using deep learning models. | 592 |