gis-programming-roadmap
Pytorch
| gis-programming-roadmap | Pytorch | |
|---|---|---|
| 25 | 341 | |
| 548 | 78,436 | |
| - | 1.9% | |
| 5.6 | 10.0 | |
| 5 months ago | 4 days ago | |
| Python | ||
| MIT License | BSD 1-Clause License |
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gis-programming-roadmap
- Seeking Insight about GIS Developers
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Is anyone interested in partnering up to develop self-taught GIS skills
This is a resource I found from another thread : https://github.com/petedannemann/GIS-Programming-Roadmap/blob/master/README.md
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I can't develop an app, but I can configure the heck out of one
I think ur being downvoted by people who consider themselves full-on GIS software engineers, but haven’t completed any part of the developer roadmap . The truth hurts, ur first point is right.
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Decided to get back into GIS after many years, but it seems like the field has progressed a lot and I don't know where to start with my current basic knowledge
Check out the wiki in the sidebar! This great GIS programming roadmap is in there.
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GIS Bootcamps?
Not that I'm aware of, but this roadmap was really helpful when I started GIS programming roadmap
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Potential Career Change Thoughts
Check out this resource gis-programming-roadmap for a good list of cheap/free self-learning programs.
- Wanting to get into GIS app development... Where should I start?
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GIS Developer career path
This is a useful link that I really like: https://github.com/petedannemann/gis-programming-roadmap/blob/master/README.md
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I want to pursue GIS as a career and I could use a little guidance
That's totally understandable, I would check out https://www.coursera.org/specializations/gis#courses combined with a little of https://github.com/petedannemann/gis-programming-roadmap/blob/master/README.md just to avoid paying more for tuition.
- Suggestions for 30yo Senior GIS Analyst towards Computer Science
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?
Fiona - Fiona reads and writes geographic data files
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
Shapely - Manipulation and analysis of geometric objects
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
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
flax - Flax is a neural network library for JAX that is designed for flexibility.
gdal - GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java