szprestonhuang,Prestonhuang,github

autoencoder

Text autoencoder with LSTMs

bcnn-keras-clean

Bilinear CNN implementation with keras.

bilinear-cnn

PyTorch implementation of bilinear CNN for fine-grained image recognition

csgo

C#并发流程控制框架、运动控制框架，适用于工业自动化运动控制、机器视觉流程开发。

deep-learning-approach-for-surface-defect-detection

（最先进的缺陷检测网络） A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"

deep-rl-keras

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

extremely-simple-one-shot-learning

Extremely simple one-shot learning in Python

g-tensorflow-models

tensorflow/models with GIoU

human-face-generator

By applying a DCGAN and training it with unlabeled cartoon character pictures, we can build a robust generator for creating faces with random noise.

integratedsoftware

C#Halcon视觉软件，2020年05月修整期间编写的工业集成软件框架，目前不从事该行业，因此开放出来交流学习。软件已作删减，仅保留视觉部分，需自行添加Halcon的DLL方可正常运行软件。希望对大家有帮助。

keras-retinanet

Keras implementation of RetinaNet object detection.

keras-yolo3

Training and Detecting Objects with YOLO3

kmeans-anchor-boxes

k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper

noise2noise

An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"

noise2noise-1

Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper

ntm-one-shot-tf

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

nts-net

This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).

one-shot-learning

뉴럴 튜링 머신 기반 원샷 학습 프레임워크

one-shot-mann

Tensorflow Implementation of One-Shot Learning with Memory Augmented Neural Network

oxflowers_bcnn

The tensorflow CNN & Bilinear CNN codes for Oxford Flowers 17 Dataset.

qt-plugin-project

基于VS2017嵌套Qt插件开发的一款桌面应用程序，程序整体架构采用插件框架，各摸块通过插件管理器与主系统进行通讯，主系统主要功能包含xmpp、Mqtt即时通讯，opencv视觉处理，vtk3D点云显示，WebEngine展示WebGL或三维页面，线性动画等，如有更好的建议请联系[email protected]