elbencho
Pytorch
elbencho | Pytorch | |
---|---|---|
2 | 340 | |
147 | 78,016 | |
- | 1.4% | |
7.5 | 10.0 | |
4 days ago | 4 days ago | |
C++ | Python | |
GNU General Public License v3.0 only | 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.
elbencho
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[HELP] Nvidia GPUDirect storage benchmark for an AI400 system
You can also use elbencho (https://github.com/breuner/elbencho) which is functionally equivalent to IOR but a little more flexible.
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WD Black SN850 1 TB SSD Review - The Fastest SSD
I won't speak for him but Tallis is definitely aware (see his recent article on updated testing) and so are others. I regularly work with Sean Webster of Tom's Hardware (/u/TurboSSD) and we spend an insane amount of time working around SLC cache response and discussing it on my discord. These guys often use different tools (e.g. Iometer vs. FIO) although the one I've been playing with moving forward is elbencho. Either way, it's something that takes up a lot of time in SSD reviewer circles since it's a relatively tightknit group. It's a challenging topic especially as SLC caching algorithms are getting more complex, with behavioral and performance-based profiles and reviewers already doing preconditioning.
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?
CrystalDiskInfo - CrystalDiskInfo
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
oneflow - OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
beatmup - Beatmup: image and signal processing library
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
cubefs - cloud-native file store
flax - Flax is a neural network library for JAX that is designed for flexibility.
ParallelReductionsBenchmark - Thrust, CUB, TBB, AVX2, CUDA, OpenCL, OpenMP, SyCL - all it takes to sum a lot of numbers fast!
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
sedutil - Use sedutil for setting up and using self encrypting drives (SEDs) that comply with the TCG OPAL 2.00 standard. This includes the requisite pre-boot authentication image.
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