Largest list of models for Core ML (for iOS 11+)
-
Updated
Jun 23, 2023 - Python
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Largest list of models for Core ML (for iOS 11+)
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Pre-trained Deep Learning models and demos (high quality and extremely fast)
🔥🔥🔥色情图片离线识别,基于TensorFlow实现。识别只需20ms,可断网测试,成功率99%,调用只要一行代码,从雅虎的开源项目open_nsfw移植,该模型文件可用于iOS、java、C++等平台
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.
PyTorch to Keras model convertor
Boltzmann Machines in TensorFlow with examples
Run TensorFlow models in C++ without installation and without Bazel
Generic and easy-to-use serving service for machine learning models
Domain-Adversarial Neural Network in Tensorflow
Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
Image classification with NVIDIA TensorRT from TensorFlow models.
Implementation of Transformer Model in Tensorflow
Tensorflow Implementation of Yahoo's Open NSFW Model
Multiple-Relations-Extraction-Only-Look-Once. Just look at the sentence once and extract the multiple pairs of entities and their corresponding relations. 端到端联合多关系抽取模型,可用于 http://lic2019.ccf.org.cn/kg 信息抽取。
How to use TensorLayer
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
This is a repository for an object detection inference API using the Tensorflow framework.
Created by Google Brain Team
Released November 9, 2015