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add courses of ai
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@Pas0412
Pas0412 committed Sep 2, 2023
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33 changes: 26 additions & 7 deletions awesome/README.ipynb
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"remove_cell"
]
},
"outputs": [],
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{
"name": "stdout",
"output_type": "stream",
"text": [
"zsh:1: no matches found: langcodes[data]\r\n"
]
}
],
"source": [
"# Install the necessary dependencies\n",
"\n",
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"text/markdown": [
"| | Title | By | Topic | Price | Level | Type | Hascert | Language | Tag |\n",
"|---:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------|:---------------|:----------------|:--------------|:----------|:-----------------------|:--------------------------------------------------------------------------------------------------|\n",
"| 1 | <a href=\"https://www.freecodecamp.org/learn/data-visualization/\">Data Visualization</a> | @<a href=\"https://freecodecamp.org\">freeCodeCamp</a> | 💿 Data science | 🟩 Free | 🟩 Beginner | 🟩 Self-paced | ❌ | 🇺🇸 English | 💿 Data science 📈 Data visualization 🫙 Javascript 👨‍🏫 Projects |\n",
"| 1 | <a href=\"https://www.freecodecamp.org/learn/data-visualization/\">Data Visualization</a> | @<a href=\"https://freecodecamp.org\">freeCodeCamp</a> | 💿 Data science | 🟩 Free | 🟩 Beginner | 🟩 Self-paced | ❌ | 🇺🇸 English | 💿 Data science 📈 Data visualization 🫙 Javascript 👨‍🏫 Projects |\n",
"| 2 | <a href=\"https://www.freecodecamp.org/learn/relational-database/\">Relational Database</a> | @<a href=\"https://freecodecamp.org\">freeCodeCamp</a> | 💿 Data science | 🟩 Free | 🟩 Beginner | 🟩 Self-paced | ❌ | 🇺🇸 English | 💿 Data science 👨‍🏫 Projects 📊 SQL |\n",
"| 3 | <a href=\"https://www.freecodecamp.org/learn/scientific-computing-with-python/\">Scientific Computing with Python</a> | <a href=\"https://www.linkedin.com/in/charlesseverance/\">Charles Severance</a>@<a href=\"https://freecodecamp.org\">freeCodeCamp</a> | 💿 Data science | 🟩 Free | 🟩 Beginner | 🟩 Self-paced | ❌ | 🇺🇸 English | 💿 Data science 👨‍🏫 Projects 🐍 Python 🎥 Video |\n",
"| 4 | <a href=\"https://www.freecodecamp.org/learn/data-analysis-with-python/\">Data Analysis with Python</a> | <a href=\"https://www.linkedin.com/in/santiagobasulto\">Santiago Basulto</a>@<a href=\"https://freecodecamp.org\">freeCodeCamp</a> | 💿 Data science | 🟩 Free | 🟩 Beginner | 🟩 Self-paced | ❌ | 🇺🇸 English | 💿 Data science 👨‍🏫 Projects 🐍 Python 🎥 Video |\n",
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"| 78 | <a href=\"https://sites.google.com/view/berkeley-cs294-158-sp20/home\">Deep Unsupervised Learning</a> | <a href=\"https://people.eecs.berkeley.edu/~pabbeel/\">Pieter Abbeel</a>, <a href=\"https://sg.linkedin.com/in/peter-chen-1344439\"> Peter Chen</a>, others | 👽 Deep learning | 🟩 Free | 🟥 Advanced | 🟩 Self-paced | ❌ | 🇺🇸 English | 🎥 Video 👽 Deep learning |\n",
"| 79 | <a href=\"https://inst.eecs.berkeley.edu/~cs182/sp21/\">Deep Neural Networks</a> | <a href=\"https://www.linkedin.com/in/sergey-levine-5a31a24\">Sergey Levine</a>, <a href=\"https://www.linkedin.com/in/phillip-isola-a9955b20\">Phillip Isola</a>@<a href=\"https://www.berkeley.edu/\">UC Berkeley</a> | 👽 Deep learning | 🟩 Free | 🟥 Advanced | 🟩 Self-paced | ❌ | 🇺🇸 English | 🎥 Video 👽 Deep learning |\n",
"| 80 | <a href=\"https://cs230.stanford.edu/syllabus/\">Deep Learning</a> | <a href=\"https://www.andrewng.org/\">Andrew Ng</a>@<a href=\"https://www.stanford.edu/\">Stanford</a> | 👽 Deep learning | 🟩 Free | 🟥 Advanced | 🟩 Self-paced | ❌ | 🇺🇸 English | 🎥 Video 👽 Deep learning |\n",
"| 81 | <a href=\"https://ali-design.github.io/deepcreativity/\">Deep Learning for Art, Aesthetics, and Creativity</a> | <a href=\"https://www.linkedin.com/in/ali-design\">Ali Jahanian</a>, <a href=\"https://www.linkedin.com/in/alexei-efros-890736a3\">Alyosha Efros</a>, others@<a href=\"https://www.mit.edu/\">MIT</a> | 👽 Deep learning | 🟩 Free | 🟥 Advanced | 🟩 Self-paced | ❌ | 🇺🇸 English | 🎥 Video 👽 Deep learning |"
"| 81 | <a href=\"https://ali-design.github.io/deepcreativity/\">Deep Learning for Art, Aesthetics, and Creativity</a> | <a href=\"https://www.linkedin.com/in/ali-design\">Ali Jahanian</a>, <a href=\"https://www.linkedin.com/in/alexei-efros-890736a3\">Alyosha Efros</a>, others@<a href=\"https://www.mit.edu/\">MIT</a> | 👽 Deep learning | 🟩 Free | 🟥 Advanced | 🟩 Self-paced | ❌ | 🇺🇸 English | 🎥 Video 👽 Deep learning |\n",
"| 82 | <a href=\"http://ai.berkeley.edu/home.html\">Introduction to Artificial Intelligence</a> | <a href=\"https://people.eecs.berkeley.edu/~pabbeel/\">Pieter Abbeel</a>, <a href=\"https://people.eecs.berkeley.edu/~klein/\">Dan Klein</a>, <a href=\"http://denero.org/\">John DeNero</a>@<a href=\"https://www.berkeley.edu/\">UC Berkeley</a> | 🤖 AI | 🟩 Free | 🟩 Beginner | 🟩 Self-paced | ❌ | 🇺🇸 English | 🤖 AI |\n",
"| 83 | <a href=\"https://www.cs.cornell.edu/courses/cs6700/2013sp/\">Advanced Artificial Intelligence</a> | <a href=\"https://www.cs.cornell.edu/selman/\">Bart Selman</a>@<a href=\"https://www.cornell.edu/\">Cornell University</a> | 🤖 AI | 🟩 Free | 🟥 Advanced | 🟩 Self-paced | ❌ | 🇺🇸 English | 🤖 AI |\n",
"| 84 | <a href=\"https://ocw.mit.edu/courses/6-868j-the-society-of-mind-fall-2011/\">The Society Of Mind</a> | <a href=\"https://web.media.mit.edu/~minsky/\">Marvin Minsky</a>@<a href=\"https://www.mit.edu/\">MIT</a> | 🤖 AI | 🟩 Free | 🟩 Beginner | 🟩 Self-paced | ❌ | 🇺🇸 English | 🤖 AI |\n",
"| 85 | <a href=\"https://www.cs.cornell.edu/courses/cs4700/2014fa/\">Foundations of Artificial Intelligence</a> | <a href=\"https://www.cs.cornell.edu/selman/\">Bart Selman</a>@<a href=\"https://www.cornell.edu/\">Cornell University</a> | 🤖 AI | 🟩 Free | 🟩 Beginner | 🟩 Self-paced | ❌ | 🇺🇸 English | 🤖 AI |"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
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},
"outputs": [
{
"name": "stderr",
"name": "stdout",
"output_type": "stream",
"text": [
"[NbConvertApp] Converting notebook README.ipynb to markdown\n",
"[NbConvertApp] Writing 71278 bytes to README.md\n"
"[NbConvertApp] Writing 73431 bytes to README.md\n"
]
}
],
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"\n",
"!jupyter nbconvert README.ipynb --no-input --to markdown --TagRemovePreprocessor.enabled=True --TagRemovePreprocessor.remove_cell_tags remove_cell\n"
]
},
{
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"language": "python",
"name": "python3"
},
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.16"
"version": "3.8.8"
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"nbformat": 4,
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