tensorflow-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.

🔥🔥🔥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.

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

🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)

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