tongjiangwei
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 <div align="center">
-<a href="https://github.com/krzjoa/awesome-python-datascience"><img width="250" height="250" src="img/py-datascience.png" alt="pyds"></a>
+<a href="https://krzjoa.github.io/awesome-python-data-science/"><img width="250" height="250" src="img/py-datascience.png" alt="pyds"></a>
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 > Probably the best curated list of data science software in Python
 
-## Contents {docsify-ignore}
+## Contents
 * [Machine Learning](#ml)
 * [Deep Learning](#dl)
 * [Data Manipulation](#data-man)
@@ -316,7 +316,7 @@
 * [TF-Agents](https://github.com/tensorflow/agents) - A library for Reinforcement Learning in TensorFlow. <img height="20" src="img/tf_big2.png" alt="sklearn"> 
 * [TensorForce](https://github.com/reinforceio/tensorforce) - A TensorFlow library for applied reinforcement learning. <img height="20" src="img/tf_big2.png" alt="sklearn">
 * [TRFL](https://github.com/deepmind/trfl) - TensorFlow Reinforcement Learning. <img height="20" src="img/tf_big2.png" alt="sklearn">
-* [Dopamine](https://github.com/google/dopamine) - A research framework for fast prototyping of reinforcement learning algorithms. 
+* [Dopamine](https://github.com/google/dopamine) - A research framework for fast prototyping of reinforcement learning algorithms.
 * [keras-rl](https://github.com/keras-rl/keras-rl) - Deep Reinforcement Learning for Keras. <img height="20" src="img/keras_big.png" alt="Keras compatible">
 * [ChainerRL](https://github.com/chainer/chainerrl) - A deep reinforcement learning library built on top of Chainer.
 >>>>>>> a2d28c6bc10e869f370df253130e94e424371c6f
 
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 <div align="center">
-<a href="https://github.com/krzjoa/awesome-python-datascience"><img width="250" height="250" src="img/py-datascience.png" alt="pyds"></a>
+<a href="https://krzjoa.github.io/awesome-python-data-science/"><img width="250" height="250" src="img/py-datascience.png" alt="pyds"></a>
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 <html lang="en">
 <head>
  <meta charset="UTF-8">
- <title>Document</title>
+ <title>Awesome Python Data Science</title>
+ <link rel="icon" type="image/png" href="img/py-datascience.png">
  <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1" />
  <meta name="description" content="Description">
  <meta name="viewport" content="width=device-width, user-scalable=no, initial-scale=1.0, maximum-scale=1.0, minimum-scale=1.0">
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- repo: '',
- markdown: {
- renderer: {
- image: function(href, title) {
- return `<img src="${href}"/>`
- }
- }
- }
-
+ repo: 'https://github.com/krzjoa/awesome-python-data-science'
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