open_lth
Pytorch
open_lth | Pytorch | |
---|---|---|
2 | 341 | |
618 | 78,436 | |
0.0% | 1.9% | |
0.0 | 10.0 | |
over 1 year ago | 5 days ago | |
Python | Python | |
MIT License | BSD 1-Clause License |
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open_lth
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[D] Where do we currently stand at in lottery ticket hypothesis research?
Here https://github.com/facebookresearch/open_lth
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[P] Composer: a new PyTorch library to train models ~2-4x faster with better algorithms
The way I see it, what we're working on is really a completely new layer in the stack: speeding up the algorithm itself by changing the math. We've still taken great pains to make sure everything else in Composer runs as efficiently as it can, but - as long as you're running the same set of mathematical operations in the same order - there isn't much room to distinguish one trainer from another, and I'd guess that there isn't much of a raw speed difference between Composer and PTL in that sense. For that reason, we aren't very focused on inter-trainer speed comparisons - 10% or 20% here or there a rounding error on the 4x or more that you can expect in the long-run by changing the math. (I will say, though, that the engineers at MosaicML are really good at what they do, and Composer is performance tuned - it absolutely wipes the floor with the OpenLTH trainer I tried to write for my PhD, even without the algorithmic speedups.)
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?
composer - Supercharge Your Model Training
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
apex - A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
flax - Flax is a neural network library for JAX that is designed for flexibility.
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
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
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
tensorflow - An Open Source Machine Learning Framework for Everyone