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A Python/OpenCV-based barcode reader for 2D barcode markers
Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger plan) before the information is made public. Detecting illegal insider trading is difficult due to the complex, nonlinear, and non-stationary nature of the stock market. In this work, we present an approach that detects and predicts illegal insider trading proactively from large heterogeneous sources of structured and unstructured data using a deep-learning based approach combined with discrete signal processing on the time series data. In addition, we use a tree-based approach that visualizes events and actions to aid analysts in their understanding of large amounts of unstructured data. Using existing data, we have discovered that our approach has a good success rate in detecting illegal insider trading patterns. My research paper (IEEE Big Data 2018) on this can be found here: https://arxiv.org/pdf/1807.00939.pdf
an unofficial pytorch implementation of ICCV 2019 paper "Disentangled Image Matting"
Deep Learning - Neural network (RNN, LSTM & GRU)
This project is an unofficial implementation of AlphaGAN: Generative adversarial networks for natural image matting published at the BMVC 2018
Tensorflow implementation of Automatic Portrait Matting on paper "Automatic Portrait Segmentation for Image Stylization"
Barcode and QR reader
Python implementation of A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
A deep learning model for Financial Signal Representation and Trading
This is tensorflow implementation for paper "Deep Image Matting"
Deep Image Matting
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
Applying Deep Learning and NLP in Quantitative Trading
Trading using Deep Q Learning
Natural Image Matting via Guided Contextual Attention
This is a python implementation of Hierarchical Image Matting Model for Segmentation.
Simplified Deep Image Matting training code with keras on tensorflow
A reimplementation of the CVPR2019 paper *Learning-based Sampling for Natural Image Matting*.
Python RL DL
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
QRCode Reader application in Python
A real-time QR Code scanning program using webcam and Python 3
raspberry opencv barcode reader
Applying Reinforcement Learning in Quantitative Trading
Flask app demonstrating an image matting nueral network
TOM-Net: Learning Transparent Object Matting from a Single Image, CVPR 2018
Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019
Barcode rendering for Python supporting QRcode, Aztec, PDF417, I25, Code128, Code39 and many more types.
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.