youlxs Goto Github PK

abp

Open Source Web Application Framework for ASP.NET Core

advanced-deep-trading

Mostly experiments based on "Advances in financial machine learning" book

akshare

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

awesome-systematic-trading

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

blockcerts-verifier

A Blockcerts verifier and viewer

cert-issuer

Issues Blockcerts using either the Bitcoin or Ethereum blockchain

cert-verifier

Python library for verifying Blockcerts

cert-verifier-js

Javascript library for verifying Blockcerts Certificates

chinastockimporter

yootech

chinastockquotes

yootech

dnn_house_price_prediction_scratch

build a deep neural network from scratch for boston house price prediction

etdataset

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

lean

Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)

libonnx

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

lstm

lstm_stock_price_prediction

LSTM神经网络预测沪深300指数及其涨跌

machinelearning

ML.NET is an open source and cross-platform machine learning framework for .NET.

magiconion

Unified Realtime/API Engine for .NET Core and Unity.

onnx-mlir

Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure

root

The official repository for ROOT: analyzing, storing and visualizing big data, scientifically

sgx-full-orderbook-tick-data-trading-strategy

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

tdxjyauto

wallet-android

An Android app for Blockcerts

wallet-ios

An iOS wallet for Blockcerts

youlxs.github.io

zhanghuo-resume

zhanghuo resume