Tensorops

14 posts

Tensorops

Tensorops

@tensorops

TensorOps organization, TransformerX Python library. Transformer-based models' building blocks for Tensorflow, Pytorch, and Jax. Discord: https://t.co/fFIGkciBwW

Katılım Ağustos 2022
8 Takip Edilen9 Takipçiler
Tensorops retweetledi
Soran Ghaderi
Soran Ghaderi@soranghadri·
📌 Hi all! Here's my brief intro to Hamiltonian Monte Carlo and H-mechanics. It breaks down the math (fully explained) and includes bits of visualizations. #mcmc #hamiltonianMonteCarlo #generativeAI
Soran Ghaderi tweet media
Towards Data Science@TDataScience

How can Hamiltonian mechanics apply to generative modeling and Markov chain Monte Carlo? @soranghadri presents a thoughtful deep dive on a fascinating topic. towardsdatascience.com/from-physics-t…

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Tensorops retweetledi
Soran Ghaderi
Soran Ghaderi@soranghadri·
Finally got around to deploying the first version of the TorchEBM docs! It’s a little library I’ve been tinkering with for energy-based models in PyTorch. Still very early stages—think rough draft vibes—but it’s open-source and meant for research tinkering. [1/n]
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Tensorops retweetledi
Soran Ghaderi
Soran Ghaderi@soranghadri·
For the past month, I have been developing TorchEBM, a library for modeling and training energy-based models. I'm actively developing it. Any suggestions, insights, or contributions are welcome. github.com/soran-ghaderi/…
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Tensorops retweetledi
Towards Data Science
Towards Data Science@TDataScience·
Catch up with the recent history of Transformers research — @soranghadri's overview is comprehensive and accessible; it's a powerful resource to bookmark for future reference. buff.ly/43N2Opt
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Tensorops retweetledi
Towards Data Science
Towards Data Science@TDataScience·
. @soranghadri explains transformer architecture through underlying math, Python code implementation, and visualization of different layers. buff.ly/3RJRiEk
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Tensorops
Tensorops@tensorops·
TransformerX is a Python library that comes with a range of building blocks you need to implement transformer-based models. It helps researchers implement their models with ease.
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