Top 4 Python capsule-network Projects

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

1 3,638 1.0 Python

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
EasyRec

1 1,482 8.1 Python

A framework for large scale recommendation algorithms.

Project mention: FLaNK Stack Weekly for 20 June 2023 | dev.to | 2023-06-20

Recommendation Framework https://github.com/alibaba/EasyRec

WorkOS

workos.com sponsored

The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
Efficient-CapsNet

1 246 0.0 Python

Official TensorFlow code for the paper "Efficient-CapsNet: Capsule Network with Self-Attention Routing".
heinsen_routing

6 160 2.7 Python

Reference implementation of "An Algorithm for Routing Vectors in Sequences" (Heinsen, 2022) and "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019), for composing deep neural networks.

Project mention: A Surprisingly Effective Way to Estimate Token Importance in LLM Prompts | news.ycombinator.com | 2023-09-12

Simple and in hindsight, obvious:
1. Run the text through a document embeddding model and save the embedding.
2. Remove one token at a time, and compute the cosine similarity of the new document embedding to the original one.
3. Compute importance as a function of the change in cosine similarity.
Nice.
Also check out https://github.com/glassroom/heinsen_routing . It takes n embeddings and outputs m embeddings, and also gives you an n×m matrix with credit assignments, without having to remove tokens one by one, which can be prohibitively slow for long texts.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).