TLXZoo - Pre-trained models based on TensorLayerX

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Deep Learning tensorflow pytorch tensorlayer paddlepaddle oneflow mindspore jittor tensorlayerx
Overview

Pre-trained models based on TensorLayerX. TensorLayerX is a multi-backend AI framework, which can run on almost all operation systems and AI hardwares, and support hybrid-framework programming. The currently version supports TensorFlow, MindSpore, PaddlePaddle, PyTorch, OneFlow and Jittor as the backends.

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We envision models that are pre-trained on a vast range of domain-relevant tasks to become key for molecule property prediction
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Source code for paper: Knowledge Inheritance for Pre-trained Language Models
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Pre-trained model, code, and materials from the paper
Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).

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Comments
  • Update VGG

    Update VGG

    Change make_layerto features, which is the same as torchvision. Change end_withto include_top, which is the same as Keras. Change classifier, 4096 output units.

    Tested training on demo/vision/image_classification/vgg/train.py. The training process still needs some modifications.

    opened by QuantumLiu 0
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TensorLayer Community
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Codes to pre-train T5 (Text-to-Text Transfer Transformer) models pre-trained on Japanese web texts

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