xujinchang Goto Github PK
Type: User
Company: WeChat
Bio: Machine Learning, Deep Learning, Computer Vision and Quantitative Investment
Location: Beijing
Type: User
Company: WeChat
Bio: Machine Learning, Deep Learning, Computer Vision and Quantitative Investment
Location: Beijing
The classical papers and codes about generative adversarial nets
全面的算法代码库
Paper bank for Self-Supervised Learning
A method for baidu dog recognition rank 13th
A simple tool for labeling object bounding boxes in images
Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks
主流ocr算法研究实验性的项目,目前实现了CNN+BLSTM+CTC架构
common data analysis and machine learning tasks using python
Deep Residual Learning for Image Recognition
Method strategy for EmotiW 2017 video emotion recognition
using GAN to super-resolve tiny images
In order to annotate age and gender for training CNN using Qt
ChaLearn LAP Real Versus Fake Expressed Emotion Challenge @ICCV 2017 rank 5th
Implementation of Super Resolution CNN in Keras.
Image translation
Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"
KAZE Features
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (CVPR 2017)
A tutorial of learning tensorflow
Machine learning resources
This research aims at simply deploying CNN(Convolutional Neural Network) on mobile devices, with low complexity and high speed.
Models built with TensorFlow
OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library
Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe
A tutorial of quant
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.