Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
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Updated
Aug 21, 2024 - Python
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
RoBERTa中文预训练模型: RoBERTa for Chinese
Pre-trained Neural Network models in Axon (+ 🤗 Models integration)
😺 Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
ImageNet pre-trained models with batch normalization for the Caffe framework
BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
TensorFlow implementation of GoogLeNet and Inception for image classification.
Cluster images based on image content using a pre-trained deep neural network, optional time distance scaling and hierarchical clustering.
A collection of Audio and Speech pre-trained models.
Convenient wrapper for TensorFlow feature extraction from pre-trained models using tf.contrib.slim
DLTK Model Zoo
Easy to use neural networks for NVIDIA Jetson (and desktop too!)
Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
[this repo is no longer maintained] Neural Network image classifier (inception-bn network architecture), developed via MxNet
Pretrained model for Chinese Scientific Text
Pre-trained VGG-Net Model for image classification using tensorflow
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