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Deep Learning In Radiation Therapy

Machine learning

  1. [python http://likegeeks.com
  2. pytorch-Deep-learning: https://github.com/atcold.github.io/pytorch-deep-learning
  3. ML文章列表：http://paperswithcode.com/sota
  4. TUNA镜像：https://mirrors.tuna.tsinghua.edu.cn/help/
  5. GitHub中文排行榜https://github.com/kon9chunkit/GitHub-Chinese-Top-Charts.git
  6. Python 资源大全中文版https://github.com/jobbole/awesome-python-cn.git
  7. code snippetshttps://github.com/CoreyMSchafer/code_snippets.git

Deep Learning

Statistics

—Linear Algebra, from UC Davis

  • SciPy, pandas, and StatsModels all come with a wide variety of statistical func‐ tions.

SciPy, pandas, and StatsModels all come with a wide variety of statistical func‐ tions.

  • Statistics is important. (Or maybe statistics are important?) If you want to be a good data scientist it would be a good idea to read a statistics textbook. Many are

Data Visu

  • seaborn is built on top of matplotlib and allows you to easily produce prettier (and more complex) visualizations.
  • D3.js is a JavaScript library for producing sophisticated interactive visualizations for the web. Although it is not in Python, it is both trendy and widely used, and it is well worth your while to be familiar with it.
  • Bokeh is a newer library that brings D3-style visualizations into Python. • ggplot is a Python port of the popular R library ggplot2, which is widely used for creating “publication quality” charts and graphics. It’s probably most interesting if you’re already an avid ggplot2 user, and possibly a little opaque if you’re not.