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OSError: stabilityai/sd-turbo does not appear to have a file named diffusion_pytorch_model.bin.
Traceback (most recent call last):
File "/home/mad_lab/sim2real/img2img-turbo/turbo/bin/accelerate",…
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Hello DLRover team:
I'm a member of the LF AI&Data TAC and voted for this project to make it to the sandbox as it's very interesting, especially regarding the optimizations you implement.
I'm al…
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Hi @AlexeyAB ,
I have two classes and I want to train a new model with Efficientnet_B0. My training folder
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//my.data
classes=2
train = Efficient/tra…
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Dear authors,
I have several questions regarding the performance of this package.
1. I have trained the ACE potential for the Al-Si alloy with 1551 structures (16 atoms each), using 20% for trai…
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- https://arxiv.org/abs/2105.13343
- 2021
コンピュータビジョンでは、ミニバッチ内のユニークな画像ごとにデータ補強手順から1つのサンプルを抽出することが標準的な手法であるが、この選択が一般化のために最適であるかどうかは明らかではない。
本研究では、ユニークな画像ごとの補強サンプルの数が、ホールドアウトされたデータのパフォーマンスにどのように影響する…
e4exp updated
3 years ago
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I just wanted to point out that the data loader in this implementation seems to be a lot less efficient than it could have been. Right now, the code writes each encoded image into a separate `.npy` fi…
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### 論文へのリンク
[[arXiv:2002.11794] Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers](https://arxiv.org/abs/2002.11794)
### 著者・所属機関
Zhuohan L…
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### Feature Name
As part of our initiative to extend the Deep Learning Playground's capabilities to include audio data processing, we need to integrate the UrbanSoundDataset into our system.
###…
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When `data_args.image_aspect_ratio = 'resize'`, it seems that mm_utils.process_image returns the image as a PIL.Image.Image data type, which has no `shape` attribute. See https://github.com/Efficient-…
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LINK TO GRAYSCALE MNIST: https://github.com/Seqaeon/MNIST_streamlit
Our weightless neural networks framework running on MNIST and MNIST-grayscale already achieves great results in terms of traini…