PyTorch Code for Energy-Based Transformers paper -- generalizable reasoning and scalable learning
Train AI models that can reason and learn across different types of problems and data.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimePyTorch Code for Energy-Based Transformers paper -- generalizable reasoning and scalable learning
EBT has 650 stars on GitHub. It has been forked 89 times. EBT is written mainly in Python. It has been in active development since 2025. EBT is available under the Apache-2.0 license. Its main topics are ai, deep-learning, generative-ai, reasoning.
PyTorch Code for Energy-Based Transformers paper -- generalizable reasoning and scalable learning
EBT is an open-source project. It is released under the Apache-2.0 license.
Yes. EBT is free and open source — you can use, modify and self-host it.
EBT is available under the Apache-2.0 license.
EBT is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/alexiglad-ebt.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.