Pre-trained Deep Learning models and demos (high quality and extremely fast)
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Updated
Jul 16, 2024 - Python
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Pre-trained Deep Learning models and demos (high quality and extremely fast)
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Largest list of models for Core ML (for iOS 11+)
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
🔥🔥🔥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
Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
Domain-Adversarial Neural Network in Tensorflow
Generic and easy-to-use serving service for machine learning models
Run TensorFlow models in C++ without installation and without Bazel
An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.
Image classification with NVIDIA TensorRT from TensorFlow models.
PyTorch to Keras model convertor
Tensorflow Implementation of Yahoo's Open NSFW Model
Boltzmann Machines in TensorFlow with examples
A tutorial on object detection using TensorFlow
An open-source platform for automating tasks using machine learning models
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
Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
15+ Machine/Deep Learning Projects in Ipython Notebooks
Created by Google Brain Team
Released November 9, 2015