VictorAether's repositories
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
数据科学方向 课件&资料
100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
100days
100 days of algorithms
adaptive-ab-testing
Cold-Start Solution to A/B Testing Using Adaptive Sample Size Modification
adoptr
Adaptive optimal two-stage designs for clinical trials made easy.
adoptr-validation-report
R markdown-based validation report for the package adoptr.
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
awesome-programming-books
经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
Chinese-STD-GB-T-7714-related-csl
GB/T 7714相关的csl以及Zotero使用技巧及教程。
congenial-guacamole
About SAS Analisis Works
CPPZ
Conditional Power and Promising Zone
graphical-approach
Code for the paper "Graphical approaches for the control of generalised error rates", available at https://arxiv.org/abs/2004.01759
nlp-paper
自然语言处理领域下的相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）
pharmaSimulation
monte carlo simulation for clinical trials
practical-python
Practical Python Programming (course by @dabeaz)
Programming-SAS
personal SAS code repository
pysheeet
Python Cheat Sheet
Python-100-Days
Python - 100天从新手到大师
r-example-predict
APOLLO is an Accurate and independently validated Prediction mOdel of Lower-grade gLiomas Overall survival
SAS-macros
SAS macros for statistics and graphics
SasClinical
SAS Clinical program
Simulated_Clinical_Trials
Power Estimation via Monte Carlo Simulation
SSR-conditional-score
R Code for the article "A new conditional performance score for the evaluation of adaptive group sequential designs with sample size recalculation" by Carolin Herrmann, Maximilian Pilz, Meinhard Kieser and Geraldine Rauch (doi: 10.1002/sim.8534).
SSR-smoothing-corrections
R Code for the article "Smoothing corrections for improving sample size recalculation rules in adaptive group sequential study designs" by Carolin Herrmann and Geraldine Rauch.
swirl_courses
:mortar_board: A collection of interactive courses for the swirl R package.