shinezai's repositories
QASystemOnFinancialKG
A tutorial and implement of Financial knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以A股为中心的一定规模金融领域知识图谱，并以该知识图谱完成自动问答与分析服务。
100-Days-Of-ML-Code
100 Days of ML Coding
100-Days-Of-ML-Code-1
100-Days-Of-ML-Code中文版
advisor
Open-source implementation of Google Vizier for hyper parameters tuning
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
benchmark
为了让投资者透明化地了解一个区块链项目的技术情况，EVOLABTech从共识、安全、性能、技术创新、代码和经济模型进行研究，推出了区块链项目的技术尽调报告EVOLAB Benchmark
Bismuth
The first Python blockchain protocol and platform
block-chain-wallet
block-chain-wallet
breadwallet-android
android SPV bitcoin wallet
ChatterBot
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
e2e_dialog_challenge
End-To-End Task-Completion Dialogue Challenge
examples
Example applications, microservices, and code samples for the Internet Computer
ic-token
DIP20: A fungible token standard for the DFINITY Internet Computer.
IC_Utils
Designed for rapid iteration in IC Canister development projects.
JDA
Java wrapper for the popular chat & VOIP service: Discord https://discordapp.com
neo4j-python-pandas-py2neo-v3
利用pandas将excel中数据抽取，以三元组形式加载到neo4j数据库中构建相关知识图谱
NFT-Marketplace-Tutorial
NFT marketplace tutorial by Alchemy
nlp_course
YSDA course in Natural Language Processing
ocean.one
Ocean ONE is a decentralized exchange built on Mixin Network
OpenKE
An Open-Source Package for Knowledge Embedding (KE)
OpenNRE
An Open-Source Package for Neural Relation Extraction (NRE) implemented in TensorFlow
pyltp
pyltp: the python extension for LTP
rqalpha
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
scaffold-eth-challenges
Scaffold-Eth 🏗 Challenges repository
stanfordnlp
Official Stanford NLP Python Library for Many Human Languages
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.
strategies
quantitative trading with Javascript, Python, C++, Blockly, MyLanguage(麦语言)
USTC-CS-Courses-Resource
:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)