Bc's repositories
OneWorld
https://www.kaggle.com/c/jane-street-market-prediction/overview “Buy low, sell high.” It sounds so easy…. In reality, trading for profit has always been a difficult problem to solve, even more so in today’s fast-moving and complex financial markets. Electronic trading allows for thousands of transactions to occur within a fraction of a second, resulting in nearly unlimited opportunities to potentially find and take advantage of price differences in real time. In a perfectly efficient market, buyers and sellers would have all the agency and information needed to make rational trading decisions. As a result, products would always remain at their “fair values” and never be undervalued or overpriced. However, financial markets are not perfectly efficient in the real world. Developing trading strategies to identify and take advantage of inefficiencies is challenging. Even if a strategy is profitable now, it may not be in the future, and market volatility makes it impossible to predict the profitability of any given trade with certainty. As a result, it can be hard to distinguish good luck from having made a good trading decision. In the first three months of this challenge, you will build your own quantitative trading model to maximize returns using market data from a major global stock exchange. Next, you’ll test the predictiveness of your models against future market returns and receive feedback on the leaderboard. Your challenge will be to use the historical data, mathematical tools, and technological tools at your disposal to create a model that gets as close to certainty as possible. You will be presented with a number of potential trading opportunities, which your model must choose whether to accept or reject. In general, if one is able to generate a highly predictive model which selects the right trades to execute, they would also be playing an important role in sending the market signals that push prices closer to “fair” values. That is, a better model will mean the market will be more efficient going forward. However, developing good models will be challenging for many reasons, including a very low signal-to-noise ratio, potential redundancy, strong feature correlation, and difficulty of coming up with a proper mathematical formulation.
Explanation-Vulnerability-Detector
Towards Interpretability over Smart Contract Vulnerability Detection based on Deep Neural Networks
aws-sdk-go
SDK for ksyun, Go version
baasmanager
基于K8S平台的区块链即服务BaaS（Blockchain as a Service），借鉴于hyperledger/cello，支持Hyperledger Fabric，但更加轻量级的架构实现
cryptogm
国密sm2 sm3 sm4 x509 tls
fabric-ca
fabric-ca1.4版本国密算法改造完成
fabric-chaincode
Develop Hyperledger Fabric chaincode with zero-code by using Flogo visual programing environment.
fabric-external-chaincodes
Hyperledger Fabric network in K8s with External Chaincodes as pods
fabric-private-chaincode
This lab enables Secure Chaincode Execution using Intel SGX for Hyperledger Fabric.
GNNSCVulDetector
Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)
God-Of-BigData
大数据面试题，大数据成神之路开启...Flink/Spark/Hadoop/Hbase/Hive...
golang-design-pattern
设计模式 Golang实现－《研磨设计模式》读书笔记
hello-algorithm
🌍 东半球最酷的学习项目 | 1、我写的三十万字算法图解 2、千本开源电子书 3、100 张思维导图 4、100 篇大厂面经 5、30 个学习专题 🚀 🚀 🚀 右上角点个 star，加入我们万人学习群！English Supported！
hlf-k8s
Substra Network initializes an Hyperledger Fabric network with Certificate Authorities
kubeadm-ha
kubeadm-ha 使用 kubeadm 进行高可用 kubernetes 集群搭建，利用 ansible-playbook 实现自动化安装，既提供一键安装脚本，也可以根据 playbook 分步执行安装各个组件。
LedgerYi
A user-friendly distributed ledger platform.
LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
microk8s-kata-containers
Kata Containers with MicroK8s
minbft
Implementation of MinBFT consensus protocol.
python
Official Python client library for kubernetes
spring-boot-study
SpringBoot框架源码实战（已更新到springboot2版本实现）~基本用法，Rest，Controller，事件监听，连接数据库MySQL，jpa，redis集成，mybatis集成（声明式与xml两种方式~对应的添删查改功能），日志处理，devtools配置，拦截器用法，资源配置读取，测试集成，Web层实现请求映射，security安全验证，rabbitMq集成，kafka集成，分布式id生成器等。项目实战：https://github.com/hemin1003/yfax-parent 已投入生产线上使用
WeCross-Fabric2-Stub
WeCross-Fabric2-Stub
xipfs.github.io
news
yarn-opterator
An kubernetes opterator to manager the yarn nodemanager, which can be used to deploy yarn on kubernetes.