Largest list of models for Core ML (for iOS 11+)
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Updated
Oct 22, 2020 - Python
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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
Run TensorFlow models in C++ without installation and without Bazel
Domain-Adversarial Neural Network in Tensorflow
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.
Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
Distributed Keras Engine, Make Keras faster with only one line of code.
Automatic Number (License) Plate Recognition using Tensorflow Object Detection API
News summarization using sequence to sequence model with attention in TensorFlow.
Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)
Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.
A tutorial on object detection using TensorFlow
Convert ONNX model graph to Keras model format.
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
demo: https://github.com/openvinotoolkit/open_model_zoo/tree/master/demos/mri_reconstruction_demo
example: openvinotoolkit/open_model_zoo#2178