Popular GitHub Repositories for Matrix Capsule

A Python scikit for building and analyzing recommender systems

Cross-platform chatbot framework made with love

A Python implementation of LightFM, a hybrid recommendation algorithm.

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.

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

Deep recommender models using PyTorch.

A framework for large scale recommendation algorithms.

High-efficiency floating-point neural network inference operators for mobile, server, and Web

Recommender Learning with Tensorflow2.x

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

Acceleration package for neural networks on multi-core CPUs

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

Programmable CUDA/C++ GPU Graph Analytics

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

A curated list of awesome resources related to capsule networks