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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) | ||||||||||
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100-Days-Of-ML-Code中文版 | ||||||||||
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Best Practices on Recommendation Systems | ||||||||||
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A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 | ||||||||||
Nlp Tutorial | 12,403 | 2 months ago | 34 | mit | Jupyter Notebook | |||||
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Mit Deep Learning | 9,328 | 7 months ago | 15 | mit | Jupyter Notebook | |||||
Tutorials, assignments, and competitions for MIT Deep Learning related courses. | ||||||||||
Haystack | 9,069 | 2 | 17 hours ago | 29 | July 06, 2022 | 351 | apache-2.0 | Python | ||
:mag: Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT and alike). Haystack offers production-ready tools to quickly build complex question answering, semantic search, text generation applications, and more. | ||||||||||
Pandas_exercises | 8,966 | a month ago | 27 | bsd-3-clause | Jupyter Notebook | |||||
Practice your pandas skills! | ||||||||||
Computervision Recipes | 8,950 | 4 months ago | 65 | mit | Jupyter Notebook | |||||
Best Practices, code samples, and documentation for Computer Vision. | ||||||||||
Tensorflow Tutorials | 8,644 | 2 years ago | 2 | mit | Jupyter Notebook | |||||
TensorFlow Tutorials with YouTube Videos |
We will be going through several Jupyter Notebooks during the tutorial and use a number of data science libraries along the way. The easiest way to get started is to download Anaconda, which is free and open source. When you download this, it comes with the Jupyter Notebook IDE and many popular data science libraries, so you don’t have to install them one by one.
Here are the steps you’ll need to take before the start of the tutorial:
I highly recommend that you download the Python 3.7 version.
Clone or download this Github repository, so you have access to all the Jupyter Notebooks (.ipynb extension) in the tutorial. Note the green button on the right side of the screen that says Clone or download
. If you know how to use Github, go ahead and clone the repo. If you don't know how to use Github, you can also just download the zip file and unzip it on your laptop.
Windows: Open the Anaconda Navigator program. You should see the Jupyter Notebook logo. Below the logo, click Launch. A browser window should open up. In the browser window, navigate to the location of the saved Jupyter Notebook files and open 0-Hello-World.ipynb. Follow the instructions in the notebook.
Mac/Linux:
Open a terminal. Type jupyter notebook
. A browser should open up. In the browser window, navigate to the location of the saved Jupyter Notebook files and open 0-Hello-World.ipynb. Follow the instructions in the notebook.
There are a few additional packages we'll be using during the tutorial that are not included when you download Anaconda - wordcloud, textblob and gensim.
Windows:
Open the Anaconda Prompt program. You should see a black window pop up. Type conda install -c conda-forge wordcloud
to download wordcloud. You will be asked whether you want to proceed or not. Type y
for yes. Once that is done, type conda install -c conda-forge textblob
to download textblob and y
to proceed, and type conda install -c conda-forge gensim
to download gensim and y
to proceed.
Mac/Linux:
Your terminal should already be open. Type command-t to open a new tab. Type conda install -c conda-forge wordcloud
to download wordcloud. You will be asked whether you want to proceed or not. Type y
for yes. Once that is done, type conda install -c conda-forge textblob
to download textblob and y
to proceed, and type conda install -c conda-forge gensim
to download gensim and y
to proceed.
If you have any issues, please email me at [email protected] or come talk to me before the start of the tutorial.