node-efficientnet
EfficientNet
A Node.js implementation of the EfficientNet deep learning model architecture.
tensorflowJS implementation of EfficientNet 🚀
258 stars
5 watching
37 forks
Language: TypeScript
last commit: about 1 year ago
Linked from 1 awesome list
classificationdeep-learningefficientnetefficientnet-modelhacktoberfestimage-classificationimage-recognitionimagenetmobilenetpretrained-modelstensorflowtfjs
Related projects:
Repository | Description | Stars |
---|---|---|
| A PyTorch implementation of EfficientNet for computer vision tasks | 309 |
| A collection of pre-trained neural network models with simple interfaces for easy integration into machine learning workflows. | 1,004 |
| Deep learning models for semantic segmentation of images | 101 |
| Improves GAN training efficiency by incorporating data augmentation | 1,286 |
| An experiment with various deep learning libraries and frameworks on images and time series data | 162 |
| An implementation of CondenseNet, a model for efficient neural networks using learned group convolutions. | 29 |
| An implementation of a computationally efficient deep neural network architecture designed for mobile devices with limited computing power. | 383 |
| Re-implementation of a 100-layer fully convolutional network architecture for image segmentation | 123 |
| Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques. | 1,372 |
| An implementation of PNASNet-5 architecture in TensorFlow for image classification on ImageNet. | 102 |
| An implementation of a deep learning network architecture with dense connectivity and bottleneck layers. | 707 |
| Provides tools and utilities for training and evaluating Generative Adversarial Networks (GANs) in TensorFlow | 944 |
| An implementation of a neural network architecture for document classification using hierarchical attention mechanisms | 87 |
| An implementation of DenseNet in TensorFlow using the Tensorpack framework and OpenCV-Python for image preprocessing. | 571 |
| An implementation of a deep neural network architecture for image classification using pre-trained models and fine-tuning on the CIFAR-10 dataset. | 285 |