DeepCache
Feature reuse accelerator
A novel paradigm to accelerate diffusion models by reusing and updating high-level features in a cheap way
[CVPR 2024] DeepCache: Accelerating Diffusion Models for Free
818 stars
15 watching
39 forks
Language: Python
last commit: about 2 years agodiffusion-modelsefficient-inferencemodel-compressionstable-diffusiontraining-free
Related projects:
| Repository | Description | Stars |
|---|---|---|
| A large language model with improved efficiency and performance compared to similar models | 1,024 | |
| A PyTorch-based implementation of a predictive model for human mobility patterns using attention mechanisms and recurrent neural networks. | 149 | |
| A deep learning implementation of a recurrent variational autoencoder for generating sequential data. | 357 | |
| Automates model building and deployment process by optimizing hyperparameters and compressing models for edge computing. | 200 | |
| A framework that enables efficient training of text-to-image models by compressing the computationally expensive stage into a latent space | 531 | |
| An open-source framework for adapting representation models to various tasks and industries | 1,743 | |
| A monorepo of Haskell projects focused on data science and machine learning | 116 | |
| Project aimed at downscaling global climate data to higher resolutions using deep learning techniques. | 24 | |
| A framework for accelerating PyTorch deep learning training | 876 | |
| A lightweight wrapper around PyTorch to prevent CUDA out-of-memory errors and optimize model execution | 1,823 | |
| A Haskell framework for defining and compiling valid deep learning models to external frameworks like TensorFlow JS or Keras. | 101 | |
| Enables distributed deep learning with Keras and Spark for scalable model training | 1,574 | |
| An implementation of a deep learning model for real-time semantic segmentation | 255 | |
| A multimodal AI model that enables real-world vision-language understanding applications | 2,145 | |
| Automatically trains models from large foundation models to perform specific tasks with minimal human intervention. | 2,022 |