Chun-Ming Su's repositories
stl-gcode-viewer
STL/OBJ/GCode Viewer in Qt
machine-learning-for-trading
Udacity - Machine Learning for Trading
android-webrtc-tensorflowlite
Android + WebRTC + TensorFlow Lite for object recognition in real-time streaming
Improved-Body-Parts
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
excel-to-android-ios-string-converter
Convert Excel xlsx to Android/iOS/Mac OS X string resource .
fastaiv2keras
This is an implementation of the fastai part1 v2 course in Keras
AdamW-and-SGDW
keras implementation of AdamW from Fixing Weight Decay Regularization in Adam (https://arxiv.org/abs/1711.05101)
algorithm-service-application
Algorithm service application is a docker wrapper project, and execute algorithm with difference interface.
AndroidWebServer
Android Web Server (NanoHttpd)
centerpose
Push the Extreme of the pose estimation
container-2k9juao
Created using https://container-hosting.anotherwebservice.com/#start
container-rdbvpv0
Created using https://container-hosting.anotherwebservice.com/#start
deep-learning-practices
Practice notes of deep learning.
eatbookexamples
Example code from the Efficient Android Threading book.
keras_Realtime_Multi-Person_Pose_Estimation
Keras version of Realtime Multi-Person Pose Estimation project
Mixed-Depthwise-Convolutional-Kernels
Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch
mmdetection
OpenMMLab Detection Toolbox and Benchmark
openpifpaf
Official implementation of "PifPaf: Composite Fields for Human Pose Estimation" in PyTorch.
personlab-tf
implementation of PersonLab(https://arxiv.org/abs/1803.08225) using TF-slim
pyqt5-qtquick2-example
An example of QtQuick 2 providing material and fluent design themes in PyQt5.
pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)
reinforcement-learning-an-introduction
Python implementation of Reinforcement Learning: An Introduction