Tensorops retweeted
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-…
Tensorops retweeted
📌 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
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-…
Tensorops retweeted
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]
Tensorops retweeted
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/tor…
Tensorops retweeted
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
Tensorops retweeted
. @soranghadri explains transformer architecture through underlying math, Python code implementation, and visualization of different layers. buff.ly/3RJRiEk
Tensorops retweeted
Scaled dot-product attention is a type of #attention_mechanism where the dot-products of tensors are scaled down by √dk which normalizes the q.k variance to 1.
Check out towardsdatascience.com/trans… for more. #Transformers
Also in the #TransformerX library: github.com/tensorops/Transfo…
Tensorops retweeted
Transformers in Action: Attention Is All You Need by @soranghadri buff.ly/3RJRiEk






