pudzu-packages
lambda-packs
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| pudzu-packages | lambda-packs | |
|---|---|---|
| 6 | 1 | |
| 1 | 1,105 | |
| - | - | |
| 7.9 | 4.0 | |
| about 2 months ago | 6 months ago | |
| Python | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pudzu-packages
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[OC] Foreign coaches at the FIFA World Cup
Tools: Python and pudzu-charts.
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Letter and next letter frequencies for 24 languages (see comments for non-English plots) [OC]
Like last time, the plots were generated using Python and pillar.
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Most popular European countries among Britons
A hacky Python script to scrape the data from yougov and generate the chart using this hacky library that I wrote.
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Flags of the world by aspect ratio [OC]
Generated using Python and pudzu. Flag images from Wikipedia. Afghanistan's flag is the outgoing flag, though the likely new flag of the Islamic Emirate of Afghanistan has the same aspect ratio.
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European countries at the Summer Paralympics [OC]
Medal (and population) data downloaded from Wikipedia. Graph generated in Python using pudzu-charts.
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Fatality rates for G7 national leaders [OC]
The annual fatality rates were calculated by dividing the number of leaders who died in office by the number of years that office has existed for. For French presidents this omits the Second Empire period (1852-1870), while for German chancellors it omits the Allied Occupation (1945-49) though it also starts in 1867 with the North German Confederation. The data is all from Wikipedia, and the chart was plotted using Python and pudzu.
lambda-packs
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Using TensorFlow and the Serverless Framework for deep learning and image recognition
As a hobby, I port a lot of libraries to make the serverless friendly. You can look at them here. They all have an MIT license, so feel free to modify and use them for your project.
What are some alternatives?
colorgram.py - A Python module for extracting colors from images. Get a palette of any picture!
equilib - 🌎→🗾Equirectangular (360/panoramic) image processing library for Python with minimal dependencies only using Numpy and PyTorch
twemoji-parser - A python module made on top of PIL that draws twemoji from text to image.
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
pudzu - Various python scripts, mostly geared towards dataviz.
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Photomosaic-Creator - This script allows you to create a photomosaic from a set of images.
external_documentation_redirect - Python external documentation redirect for JetBrains IDEs
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.