🔥🔥🔥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

TensorFlow examples in C, C++, Go and Python without bazel but with cmake and FindTensorFlow.cmake

Tensorflow GPU install instructions for ubuntu 16.04 - Deep learning

公式图片ocr，输入图片输出对应的latex表达式

TensorFlow wheels built for latest CUDA/CuDNN and enabled performance flags: SSE, AVX, FMA; XLA

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

Ubuntu 18.04 How to install Nvidia driver + CUDA + CUDNN + build tensorflow for gpu step by step command line

图卷积神经网络 Graph Convolutional Network with Keras

Balanced Multiclass Image Classification with TensorFlow on Python.

A docker environment with ROS, Gazebo, X11 and Tensorflow

RNN based Forecasting App for Meta Trader and similar trading platforms

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

Guide to installing Tensorflow with NVIDIA GPU and Deep learning enviroment - Nvidia Drivers/cuda/cuDNN/tensorflow-gpu/中文文档

Implementation of the paper : Deep image analogy

A docker environment with ROS, Gazebo, Xfce4 VNC Desktop and Tensorflow

Deep learning, Face detection, CNN, Tensorflow, Keras, OpenCV, Python crawler

Binary Image Classification in TensorFlow

This repo explains how to train an Object Detector for multiple objects using Tensorflow Object Detection API on Ubuntu 16.04 (GPU)

Graph Inference on MoLEcular Topology

This repository is containing an object classification & localization project for SINGLE object.

This is a patch based Semantic Segmention Project Template

Collection of Deep Learning Text Classification Models in Keras; Includes a GPU tutorial.

Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. The amount of financial data on the web is seemingly endless. A large and well structured dataset on a wide array of companies can be hard to come by. Here I provide a dataset with historical stock prices (last 5 years) for all companies currently found on the S&P 500 index.

This is a full implementation of UNet using TensorFlow low level API, high level API and Keras

vgg transfer learning in tensorflow

Easily Install Tensorflow-GPU 2.1.0 on Linux Ubuntu 18.04 -Cuda 10 & Cudnn 7.6.5 | Download package dependencies with direct link

Running some AI examples on NVIDIA Jetson Nano

Udacity Self Driving Car Nanodegree - Traffic Sign Classifier