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Name: Libing Wu
Type: User
Company: Baidu
Name: Libing Wu
Type: User
Company: Baidu
Analysis of High Frequency Trading on Bitcoin exchanges
Cross Exchange/Hedged market making Trading Bot in C++
Source code of HG-means clustering, from "HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares clustering". (Gribel and Vidal, 2019)
Automatic Coin Trader for high frequence trading
High Frequency Analysis Based On Level-2 Data(Limit Order Book& Transaction Data)
oTree app for financial market experiments with high frequency trading
The highfrequency package contains an extensive toolkit for the use of highfrequency financial data in R. It contains functionality to manage, clean and match highfrequency trades and quotes data. Furthermore, it enables users to: calculate easily various liquidity measures, estimate and forecast volatility, and investigate microstructure noise and intraday periodicity.
High Frequency Jump Prediction Project
This project implements a high frequency trading strategy that utilizes Support Vector Machines to capture statistical arbitrage in the pricing of Class A and Class C Google stocks.
Hikyuu Quant Framework 基于C++/Python的开源量化交易研究框架
在Kaggle比赛中的Featuretools指南
Assignments for CS294-112.
Train the HRNet model on ImageNet
复现华泰证券《强化学习初探与DQN择时》研报中的DQN模型与效果
A library for transfer learning by reusing parts of TensorFlow models.
A full pipeline AutoML tool for tabular data
Distributed Asynchronous Hyperparameter Optimization in Python
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
This repo contains my reimplementation and improvement of DeepLOB model.
Inception-v4, Inception - Resnet-v1 and v2 Architectures in Keras
InceptionTime: Finding AlexNet for Time Series Classification
A PyTorch implementation of Inception-v4 and Inception-ResNet-v2.
TensorFlow implementation of Independently Recurrent Neural Networks
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Book about interpretable machine learning
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.