argos
lambda-packs
| argos | lambda-packs | |
|---|---|---|
| 1 | 1 | |
| 171 | 1,106 | |
| - | - | |
| 4.7 | 4.0 | |
| 14 days ago | 6 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | 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.
argos
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Simple plotting/graphing crate suggestions
I use a lot of Rust for engineering (mostly on the design than the research part of R&D) and very clear plots are absolutely essential. At the same time, when I start a new analysis, it isn't always clear what I need to plot. So, a workflow that has been excellent for my team and I is to generate large datasets in hdf5 (from Rust), and plot them either directly with Argos (https://github.com/titusjan/argos) or to load them in a Jupyter Notebook in Python and use plotly or PyQtGraph (for very large datasets since it uses your GPU).
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?
vaex - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
equilib - 🌎→🗾Equirectangular (360/panoramic) image processing library for Python with minimal dependencies only using Numpy and PyTorch
RustGnuplot - A Rust library for drawing plots, powered by Gnuplot.
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
plotters - A rust drawing library for high quality data plotting for both WASM and native, statically and realtimely 🦀 📈🚀
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.