guided-diffusion-keras
Papers-in-100-Lines-of-Code
guided-diffusion-keras | Papers-in-100-Lines-of-Code | |
---|---|---|
1 | 3 | |
75 | 594 | |
- | - | |
5.7 | 5.4 | |
4 months ago | 18 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
guided-diffusion-keras
-
Train Text to Image Diffusion Models in Keras
Repo here: https://github.com/apapiu/guided-diffusion-keras
Papers-in-100-Lines-of-Code
-
How do I run this code from Papers in 100 lines of code?
I wanted to try the some code written by Maxime Vandegar https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/KiloNeRF_Speeding_up_Neural_Radiance_Fields_with_Thousands_of_Tiny_MLPs
- [P] Implementation of research papers (GANs, VAEs, 3d reconstruction, ...) in 100 lines of PyTorch code
- [P] Papers-in-100-Lines-of-Code: Implementation of research papers (GANs, VAEs, Meta-learning, 3d reconstruction, ...) in 100 lines of PyTorch code.
What are some alternatives?
ImageReward - [NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Diffusion-Models-Papers-Survey-Taxonomy - Diffusion model papers, survey, and taxonomy
taichi-ngp-renderer - An Instants-NGP renderer that has been implemented using Taichi
e4t-diffusion - Implementation of Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models
CelebV-HQ - [ECCV 2022] CelebV-HQ: A Large-Scale Video Facial Attributes Dataset
rtdl-num-embeddings - (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
artbench - Benchmarking Generative Models with Artworks
MTR - The official implementation of the paper "Rethinking Data Augmentation for Tabular Data in Deep Learning"
pi-GAN-pytorch - Implementation of π-GAN, for 3d-aware image synthesis, in Pytorch
magic3d-pytorch - Implementation of Magic3D, Text to 3D content synthesis, in Pytorch