Models and examples built with TensorFlow

A collection of design patterns/idioms in Python

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

Python package for reading Adobe Photoshop PSD files

Tensorflow (Python API) implementation of Deep Photo Style Transfer

Keras implementation of yolo v3 object detection.

A Python wrapper on Darknet. Compatible with YOLO V3.

Image histogram remapping

The official implementation for A2-RL: Aesthetics Aware Rinforcement Learning for Automatic Image Cropping

🎨 Automatic Image Colorization using TensorFlow based on Residual Encoder Network

一个获取知乎用户主页信息的多线程Python爬虫程序。

This lab guides you through using AlexNet and TensorFlow to build a feature extraction network.

It detects hearts shape using haar_cascade_classifier_heart.xml which I trained and tested using opencv library in python3.

a python implementation of manifold ranking saliency

EE604: Image Processing project.Two functionalities namely red eye correction and auto-enhancement of image have been implemented.