Implementation of deep implicit attention in PyTorch
☆68Aug 2, 2021Updated 5 years ago
Alternatives and similar repositories for deep-implicit-attention
Users that are interested in deep-implicit-attention are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of approximate free-energy minimization in PyTorch☆21Oct 16, 2021Updated 4 years ago
- ☆11Oct 11, 2023Updated 2 years ago
- Fine-Tuning Pre-trained Transformers into Decaying Fast Weights☆20Oct 9, 2022Updated 3 years ago
- Recursive Bayesian Networks☆11May 11, 2025Updated last year
- Code for the paper "Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns"☆18Mar 15, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Implementation of ICML 22 Paper: Scaling Structured Inference with Randomization☆13Jul 24, 2022Updated 4 years ago
- Code for "Discovering Non-monotonic Autoregressive Orderings with Variational Inference" (paper and code updated from ICLR 2021)☆12Mar 7, 2024Updated 2 years ago
- [ICLR2022] Code for "Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph"☆54Oct 19, 2022Updated 3 years ago
- Source-to-Source Debuggable Derivatives in Pure Python☆15Jan 23, 2024Updated 2 years ago
- Variable-order CRFs with structure learning☆17Aug 1, 2024Updated 2 years ago
- ☆15Dec 5, 2019Updated 6 years ago