mask-rcnn
tpu
| mask-rcnn | tpu | |
|---|---|---|
| 1 | 5 | |
| 26 | 5,179 | |
| - | 0.1% | |
| 1.8 | 6.3 | |
| about 3 years ago | 14 days ago | |
| MATLAB | Jupyter Notebook | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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mask-rcnn
tpu
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Variance in reported results on ImageNet between papers [D]
Found relevant code at https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet + all code implementations here
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[D] What is the smallest, most capable, generative language model available now?
I'm looking for a generative-LM equivalent of an EfficientNet-Lite, for inference on devices with limited to no VRAM. I know about some popular ones like DistilGPT2. But it's been 2 years after its release. Surely, someone improved their size/performance ratio, right... right?
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Open source - that means free to use commercially right? ... right?
tensorflow/TPU 'apache' license - https://github.com/tensorflow/tpu/commit/6b3236d0271d2f2c3b2dfdc9d233ff00c4ba21cd
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[P] EfficientNet-lite in Keras (functional API).
According to original repository, the lite variants:
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Why do some architectures use no bias?
I was quite surprised to see that some architectures, like efficient net (official implementation: https://github.com/tensorflow/tpu/blob/master/models/official/efficientnet/efficientnet_model.py) don't use bias (bias=False). Does anyone know why is that? Apart from the obvious benefit of reducing parameters, doesn't it make the network less capable of learning certain representations?
What are some alternatives?
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
Deep-Residual-Learning-for-Image-Recognition - Implementation of https://arxiv.org/pdf/1512.03385.pdf
imagefusion_deeplearning - VggML (ICPR 2018, Beijing)
Entity - EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
awesome-satellite-imagery-datasets - 🛰️ List of satellite image training datasets with annotations for computer vision and deep learning