Largest list of models for Core ML (for iOS 11+)
-
Updated
Oct 22, 2020 - Python
{{ message }}
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.
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.
Boltzmann Machines in TensorFlow with examples
PyTorch to Keras model convertor
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
Run TensorFlow models in C++ without installation and without Bazel
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
How to use TensorLayer
Implementation of Transformer Model in Tensorflow
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.
Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow
Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
Distributed Keras Engine, Make Keras faster with only one line of code.
Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)
News summarization using sequence to sequence model with attention in TensorFlow.
Automatic Number (License) Plate Recognition using Tensorflow Object Detection API
A tutorial on object detection using TensorFlow
An iOS application of Tensorflow Object Detection with different models: SSD with Mobilenet, SSD with InceptionV2, Faster-RCNN-resnet101
The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
Created by Google Brain Team
Released November 9, 2015
https://github.com/openvinotoolkit/open_model_zoo/tree/develop/demos/mri_reconstruction_demo