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-chanlun

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。第一周，大盘跌了1%，挣钱了一万，挣了5%。 #股票 #股市 #缠论 https://v.kuaishou.com/bFEl6M Copy this message and open 【Kwai】to view!

awsome-courses

😏国内外计算机的优秀课程，包含MIT、CMU等世界CS名校，🔥🔥其中包含计算机基础学科（操作系统、计算机网络、编译器、数据库、数据结构与算法等）以及人工智能&AI等高级科目，欢迎通过PR形式贡献！

bayesian-principal-stratification-for-clustered-randomized-trials

This code carries out treatment effect estimation for a clustered encouragement design using a Bayesian principal stratification approach.

causal-inference

Materials Collection for Causal Inference

code_gc_mle

Gaussian Copula MLE for Spatial Lansing Woods Data

computational-finance-course

Here you will find materials for the course of Computational Finance

deepsurv.pytorch

ebook_multilevel

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal in

finance

Study resources for quantitative finance

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

glmmtmb

glmmTMB

how-to-kaggle

A research into the workflow for Kaggle competition (and data science in general) collaboratively

howlinearmixedmodelworks

ivopewithacme

lmmfromscratch

Deriving and coding Linear Mixed Model (LMM) from scratch

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

ml_assignment4

Reinforcement learning

mlinference

of

Scrape all the media from an OnlyFans account - Updated regularly

pycox

Survival analysis with PyTorch

reml

Deriving and coding Linear Mixed Model in Restricted Maximum Likelihood (REML) approach

rl_assignments

stat479-deep-learning-ss19

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

tfdeepsurv

COX Proportional risk model and survival analysis implemented by tensorflow.

weblatex

A complete alternative for Overleaf with VSCode + Web + Git Integration + Copilot + Grammar & Spell Checker + Live Collaboration Support. Based on GitHub Codespace and Dev container.