MoonJian's repositories
a-PyTorch-Tutorial-to-Image-Captioning
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
aioquant_mj
Asynchronous event I/O driven quantitative trading framework.
awesome-imbalanced-learning
A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习：论文、代码、框架与库
Awesome-Incremental-Learning
Awesome Incremental Learning
backtrader_mj
Python Backtesting library for trading strategies
ccxt_mj
A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
classifier-balancing
This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020
Computer-Networking-A-Top-Down-Approach-NOTES
《计算机网络－自顶向下方法(原书第6版)》编程作业，Wireshark实验文档的翻译和解答。
backtest_python_mj
FMZ backtest engine python package
cryptofeed_mj
Cryptocurrency Exchange Websocket Data Feed Handler
hexo-theme-diaspora
Hexo theme, Blog theme, Clean, Responsive theme
mnemonics-training
PyTorch implementation of "Mnemonics Training: Multi-Class Incremental Learning without Forgetting"
pybacktest_mj
Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast
quant_strategies
quantitative trading with Javascript, Python, C++, PineScript, Blockly, MyLanguage(麦语言)
stock
stock，股票系统。使用python进行开发。
vectorbt_mj
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
wondertrader_mj
WonderTrader——量化研发交易一站式框架
wtpy_mj
wtpy是基于wondertrader为底层的针对python的子框架
xcrypto_mj
quant,trading system,crypto,async