fastwater's repositories
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Reflection_Summary
算法理论基础知识应知应会
vnpy
基于Python的开源量化交易平台开发框架
poboquant
quant strategy backtesting from pobo financial
d2l-zh
《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
DeepESN
Deep Echo State Network (DeepESN) Python library
EchoStateNetworks
Materials related to the Medium article "Predicting Stock Prices with Echo State Networks".
Algorithmic-trading-HighLowPoint
Algorithmic trading
AmazingQuant
基于Event-driven的量化交易解决方案
pyESN
Echo State Networks in Python
LSTNet-Gluon
Time-series prediction with LSTNet in Apache MXNet Gluon
PythonLab
Python Backtesing Tool
scripts
Various scripts used to maintain Fink, the web site and the binary distribution. They are not intended for use by the general public.
deepnet
Implementation of some deep learning algorithms.