Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
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Updated
Jan 13, 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
😺 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.
RoBERTa中文预训练模型: RoBERTa for Chinese
ImageNet pre-trained models with batch normalization for the Caffe framework
TensorFlow implementation of GoogLeNet and Inception for image classification.
Pre-trained Neural Network models in Axon (+ 🤗 Models integration)
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
Convenient wrapper for TensorFlow feature extraction from pre-trained models using tf.contrib.slim
Cluster images based on image content using a pre-trained deep neural network, optional time distance scaling and hierarchical clustering.
BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
DLTK Model Zoo
A collection of Audio and Speech pre-trained models.
Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
Pre-trained VGG-Net Model for image classification using tensorflow
Example on how to use pre trained networks on new classification problems.
Easy to use neural networks for NVIDIA Jetson (and desktop too!)
A TensorFlow implementation of VGG networks for image classification
[this repo is no longer maintained] Neural Network image classifier (inception-bn network architecture), developed via MxNet
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