Shapely
Pytorch
Shapely | Pytorch | |
---|---|---|
7 | 340 | |
3,678 | 78,016 | |
1.1% | 1.4% | |
8.4 | 10.0 | |
17 days ago | 4 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | BSD 1-Clause 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.
Shapely
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Object oriented programming in GiS
https://github.com/shapely/shapely First paragraph of readme agrees w/ me
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I used Python to control a custom stop-motion animation drawing machine
The frames' vector data is generated using a sketch made with my vsketch framework (it involves loading GeoJSON data, processing it with Shapely, and projecting it in 3D with NumPy).
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GIS Developer career path
As has been said the definition of a GIS dev is far from written in stone, but to chime in from a personal standpoint: most of what I do is data wrangling/analysis with shapely/geopandas for vectors (or pygeos / fiona for performance when data volumes get large, but seeing as Shapely 2.0 just got released one can likely skip this part) + rasterio for rasters as well as parallelising these tasks for performance if needed (ray is great for that) and then performing machine learning learning against the data (mostly with sklearn and torch).
- shapely 2.0b1 released
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Using QGIS Processing Toolbox in an Independent Application?
geopandas and the underlying geometry library shapely provide an alternative to the majority of the basic GIS functionality of qgis. See e.g. https://autogis-site.readthedocs.io/en/latest/ for a tutorial for the basics of these libraries.
- Shapely 1.8.0 released
- Trouble interpreting traceback from attempting to use DeepLabCut
Pytorch
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Clasificador de imágenes con una red neuronal convolucional (CNN)
PyTorch (https://pytorch.org/)
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AI enthusiasm #9 - A multilingual chatbot📣🈸
torch is a package to manage tensors and dynamic neural networks in python (GitHub)
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Einsum in 40 Lines of Python
PyTorch also has some support for them, but it's quite incomplete and has many issues so that it is basically unusable. And its future development is also unclear. https://github.com/pytorch/pytorch/issues/60832
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Library for Machine learning and quantum computing
TensorFlow
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My Favorite DevTools to Build AI/ML Applications!
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.
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penzai: JAX research toolkit for building, editing, and visualizing neural nets
> does PyTorch have a similar concept
of course https://github.com/pytorch/pytorch/blob/main/torch/utils/_py...
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Tinygrad: Hacked 4090 driver to enable P2P
fyi should work on most 40xx[1]
[1] https://github.com/pytorch/pytorch/issues/119638#issuecommen...
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The Elements of Differentiable Programming
Sure, right here: https://github.com/pytorch/pytorch/blob/main/torch/autograd/...
Here's the documentation: https://pytorch.org/tutorials/intermediate/forward_ad_usage....
> When an input, which we call “primal”, is associated with a “direction” tensor, which we call “tangent”, the resultant new tensor object is called a “dual tensor” for its connection to dual numbers[0].
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Functions and operators for Dot and Matrix multiplication and Element-wise calculation in PyTorch
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch.
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Dot vs Matrix vs Element-wise multiplication in PyTorch
In PyTorch with @, dot() or matmul():
What are some alternatives?
geopy - Geocoding library for Python.
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
GeoDjango - GeoDjango provides geospatial extensions to the Django web dev framework
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
geojson - Python bindings and utilities for GeoJSON
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
geoip2 - Python code for GeoIP2 webservice client and database reader
flax - Flax is a neural network library for JAX that is designed for flexibility.
django-countries - A Django application that provides country choices for use with forms, flag icons static files, and a country field for models.
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
geocoder - :earth_asia: Python Geocoder
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more