Largest list of models for Core ML (for iOS 11+)
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Updated
Oct 22, 2020 - 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)
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
Generic and easy-to-use serving service for machine learning models
Run TensorFlow models in C++ without installation and without Bazel
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.
Tensorflow Implementation of Yahoo's Open NSFW Model
Implementation of Transformer Model in Tensorflow
How to use TensorLayer
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。
This is a repository for an object detection inference API using the Tensorflow framework.
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
Created by Google Brain Team
Released November 9, 2015