Name: Duo Wang
Type: User
Company: Pretending in Hangzhou Creative Culture Company(PH3C)
Bio: A wandering machine learning researcher, bouncing between groups. I want to understand things clearly, and explain them well. - Colah
Location: Beijing(wangduo.cnblogs.com)
Blog: zhihu.com/people/wangduo2014
Duo Wang's Projects
Real-Time and Accurate Multi-Person Pose Estimation&Tracking System
Faster-RCNN in Tensorflow
Data Structures and Fundamentals of Machine Learning Algorithms.
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
Caffe: a fast open framework for deep learning.
Character Model.
CIFS Flexvolume Plugin for Kubernetes
colab_test_1
My C++ learning folders.
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.
Deformable Convolution in TensorFlow / Keras
Hackathon2022
HanLP作者的新书《自然语言处理入门》详细笔记!业界良心之作,书中不是枯燥无味的公式罗列,而是用白话阐述的通俗易懂的算法模型。从基本概念出发,逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。
Lane Detection Program.
教程→ http://t.cn/zQ6LFwE 赞助→ http://t.cn/R5bhVpf 推送请使用UTF-8编码
LSTM-MATLAB is Long Short-term Memory (LSTM) in MATLAB, which is meant to be succinct, illustrative and for research purpose only. It is accompanied with a paper for reference: Revisit Long Short-Term Memory: An Optimization Perspective, NIPS deep learning workshop, 2014.
LSTM action recognition.
Open MMLab Detection Toolbox and Benchmark
Models built with TensorFlow
MTCNN face detection implementation for TensorFlow, as a PIP package.
A C++ neural network libray for sequences mainly, focusing on Long Short-term Memory (LSTM) and Restricted Boltsmann Machine (RBM) Layers.
pardet-pytorch, Pedestrian Attribute Recognition
Production chinese verification code
Demo and other Python3 code
The website for Hexo.
Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).
a solid and strong baseline of pedestrian attribute recognition
Computation using data flow graphs for scalable machine learning
TensorFlow Official Program Examples.