Pinned Repositories
AWESOME-FER
Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU) 😠😣😨😀🙁😯😑
book
Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）
clojure-manifold
Manifold learning algorithms in clojure
code-implicit-surface
DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
ECCV2016
Code to replicate "Generating Visual Explanations"
Offline-Positioning-in-Tunnels
opencv_tutorial
基于OpenCV4.0 C++/Python SDK的案例代码演示程序与效果图像
Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
RJ-First-Github
reborn521's Repositories
reborn521/AWESOME-FER
Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU) 😠😣😨😀🙁😯😑
reborn521/book
Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）
reborn521/clojure-manifold
Manifold learning algorithms in clojure
reborn521/code-implicit-surface
reborn521/DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
reborn521/ECCV2016
Code to replicate "Generating Visual Explanations"
reborn521/Offline-Positioning-in-Tunnels
reborn521/opencv_tutorial
基于OpenCV4.0 C++/Python SDK的案例代码演示程序与效果图像
reborn521/Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
reborn521/RJ-First-Github
reborn521/siamese-fc
State-of-the-art performance in arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.
reborn521/soul-model
Automatically exported from code.google.com/p/soul-model
reborn521/Tensor-Decompositions
reborn521/tensorflow-zh
谷歌全新开源人工智能系统TensorFlow官方文档中文版
reborn521/transdim
Machine learning for transportation data imputation and prediction.