Tablesaw
Pytorch
Tablesaw | Pytorch | |
---|---|---|
4 | 341 | |
3,444 | 78,205 | |
0.6% | 1.6% | |
4.3 | 10.0 | |
22 days ago | 4 days ago | |
Java | Python | |
Apache License 2.0 | BSD 1-Clause License |
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Tablesaw
- Tablesaw: Java Dataframe and Visualization Library
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Java streams are black magic !
Have you tried the tablesaw library? It's data frames in Java, with stream support. https://jtablesaw.github.io/tablesaw/
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Vinyl: Relational Streams for Java
Interesting. How does it compare with Tablesaw, which also claims to do grouping, joins, window functions? https://github.com/jtablesaw/tablesaw
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Does Java has similar project like this one in C#? (ml, data)
For data frames, tablesaw or anything with apache arrow interop would be a good way to go: https://github.com/jtablesaw/tablesaw
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?
Morpheus - The foundational library of the Morpheus data science framework
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
JGraphT - Master repository for the JGraphT project
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
JGraphX
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
JUNG - JUNG: Java Universal Network/Graph Framework
flax - Flax is a neural network library for JAX that is designed for flexibility.
GraphStream - Graphstream core
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
Mines Java Toolkit - The Mines Java Toolkit
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