cpython
eo-learn
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| cpython | eo-learn | |
|---|---|---|
| 5 | 7 | |
| 134 | 1,076 | |
| - | 0.8% | |
| 6.8 | 8.8 | |
| 22 days ago | 3 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.
cpython
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Is Fidget usable for implementation of 3D rendering?
Blender for Nim at https://github.com/juancarlospaco/cpython and maybe you can create it as a plugin on top of Blender ?, Blender has GPU, OpenGL, OpenCL, PBR, GI, SSAO, etc etc.
- erg: A Python-compatible statically typed language
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Plans for Nim bindings for Godot 4?
Over https://github.com/juancarlospaco/cpython we got bindings for https://upbge.org but I dont have time to make game demos.
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Nim to write Python modules ? What about memory management ?
What if I have a python object that contains Nim-managed pointers to nim objects that contain Python objects created by Nim's CPython ? How will GC(s) work ?
- Alternative StdLib for Nim for Python Targets, Hijacks Python StdLib for Nim
eo-learn
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What are examples of well-organized data science project that I can see on Github?
I like ours https://github.com/sentinel-hub/eo-learn but of course I am biased
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Machine Learning free courses online for earth science - suggestions?
Sentinel Hub's eo-learn
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World Mosaic Time-lapse 2020 [3020 × 1510] [OC]
Overall description of used tools: - python: eo-learn and sentinelhub-py - gdal for GIS related stuff - ray for cluster computing
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Transitioning from NLP to satellite and image based CV
If you are joining a not small company they probably already have this, but an example is https://github.com/sentinel-hub/eo-learn which is specific to a certain set of satellite data products.
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Land Cover Classification of Istanbul, Turkey [4965x 2512]
Yes, `eo-learn` is just a collection of the existing tools you mention, which harmonizes the workflow for a specific task. Feel free to open ticket on eo-learn github if you have any questions! :)
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[OC] Vegetation of Africa 2019
* Python packages [sentinelhub-py](https://github.com/sentinel-hub/sentinelhub-py) and [eo-learn](https://github.com/sentinel-hub/eo-learn)
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[OC] Earth in a year (2019 True-Color Sentinel-2 L2A data)
Tools: - Python packages sentinelhub-py and eo-learn - GDAL 3.2
What are some alternatives?
nose2 - The successor to nose, based on unittest2
gdal - GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
binarytree - Python Library for Studying Binary Trees
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
upbge - UPBGE, the best integrated game engine in Blender
ml4eo-bootcamp-2021 - Machine Learning for Earth Observation Training of Trainers Bootcamp
imgui - ImGui bindings for Nim via cimgui
pywsitest - PYthon WebSocket Integration TESTing framework
boxy - 2D GPU rendering with a tiling atlas.
eemeter - An open source python package for implementing and developing standard methods for calculating normalized metered energy consumption and avoided energy use.
styrofoam - (Alpha) Advanced WSGI router for running multiple separate WSGI applications