corenet
Neural network toolkit
A deep neural network toolkit allowing researchers and engineers to train various models
CoreNet: A library for training deep neural networks
7k stars
65 watching
543 forks
Language: Jupyter Notebook
last commit: 4 months ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| A toolkit for building and deploying deep learning models in computer vision | 5,850 |
| A Java-based suite of tools for natural language processing and analysis | 9,727 |
| A deep learning implementation of a neural network architecture with interconnected layers, designed to improve accuracy on image classification tasks | 4,757 |
| Original models for deep residual networks as described in a 2015 research paper, implemented using Caffe. | 6,462 |
| An implementation of the MobileNet neural network using Apple's CoreML framework for mobile vision applications. | 708 |
| A comprehensive tutorial on building and training deep neural networks using Keras and TensorFlow | 2,951 |
| A high-performance deep learning library written in Swift for Apple platforms. | 6,032 |
| A collection of efficient AI backbone architectures developed by Huawei Noah's Ark Lab. | 4,098 |
| A deep learning framework for object detection using corner pooling and keypoint localization. | 2,360 |
| Research and development of deep learning networks for computer vision tasks | 2,984 |
| Resolves coreference clusters in text using neural networks | 2,859 |
| A comprehensive PyTorch-based framework for computer vision tasks | 2,249 |
| A lightweight deep learning framework developed by Alibaba for efficient inference and training of neural networks on-device. | 8,824 |
| A guide to building production-ready deep learning systems for real-world applications | 4,371 |
| A PyTorch implementation of EfficientNet convolutional neural networks | 7,971 |