ModelZoo.pytorch
pytorch2keras
| ModelZoo.pytorch | pytorch2keras | |
|---|---|---|
| 1 | 2 | |
| 48 | 846 | |
| - | - | |
| 0.0 | 0.0 | |
| over 3 years ago | over 1 year ago | |
| Python | Python | |
| MIT License | MIT License |
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ModelZoo.pytorch
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[D] Any good resources/repositories to get ImageNet trained models?
Google for 'model zoo' and the terms you want. Here's one that comes up with label smoothing: https://github.com/PistonY/ModelZoo.pytorch
pytorch2keras
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Help Needed: Converting PlantNet-300k Pretrained Model Weights from Tar to h5 Format Help
It's almost certainly a pickled pytorch model so you will first need to load it using pytorch and then write it out to h5 (legacy keras format) with https://github.com/gmalivenko/pytorch2keras.
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Is Pytorch good deployment wise?
But of course, you can always train a model with one framework and run inference with another. For instance, pytorch2keras does exactly this.
What are some alternatives?
mmpretrain - OpenMMLab Pre-training Toolbox and Benchmark
NudeNet - Neural Nets for Nudity Detection and Censoring
simpleT5 - simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.
InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
models - Models and examples built with TensorFlow
facenet-pytorch - Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
segmentation_models - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.
MEAL-V2 - MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
onnx-tensorflow - Tensorflow Backend for ONNX
cnn-watermark-removal - Fully convolutional deep neural network to remove transparent overlays from images
TensorFlow-object-detection-tutorial - The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch