turbodbc
Pytorch
| turbodbc | Pytorch | |
|---|---|---|
| 2 | 340 | |
| 603 | 78,016 | |
| 0.0% | 1.4% | |
| 8.0 | 10.0 | |
| 3 days ago | 3 days ago | |
| C++ | Python | |
| MIT 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.
turbodbc
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Arrowdantic 0.1.0 released
It supports reading from and writing to ODBC compliant databases at likely similar performance as turbodbc and it does not require conda to install.
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arrow-odbc: Fetch arrow arrays from an ODBC data source in a pip installable environment
turbodbc is great, but a pain to build, at least without conda. arrow-odbc-py uses cffi (rather than PyO3) to talk to a rust backend and than uses the Arrow C Data interface to provide the user with pyarrow compatible arrow arrays. The use of a dedicated C interface in both places, avoids linking directly against the Python C-Interpreter as well as the specific C++ Arrow libraries your pyarrow version depends on. Avoiding some pain of dependency hell.
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?
arrow-odbc-py - Read Apache Arrow batches from ODBC data sources in Python
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
soci - Official repository of the SOCI - The C++ Database Access Library
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
vinum - Vinum is a SQL processor for Python, designed for data analysis workflows and in-memory analytics.
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
pyexasol - Exasol python driver with low overhead, fast HTTP transport and compression
flax - Flax is a neural network library for JAX that is designed for flexibility.
arrow2 - Transmute-free Rust library to work with the Arrow format
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
odbc - Connect to ODBC databases (using the DBI interface)
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