Capsule Collection

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⚡Electric

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“:rocket: Open Source REST API for SpaceX launch, rocket, core, capsule, starlink, launchpad, and landing pad data.”

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🔮Psychic

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

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🔮Psychic

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“A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%. ”

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🔮Psychic

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“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”

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⚡Electric

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“ CGA 3D 计算几何算法库 | 3D Compute Geometry Algorithm Library webgl three.js babylon.js等任何库都可以使用”

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🔮Psychic

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“Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017”

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🔮Psychic

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“NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务”

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🔮Psychic

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“通过selenium模拟浏览器来自动观看电竞比赛获取电竞典藏罐,当没有比赛时智能休眠.（Automatically watch e-sports games through undetected_chromedriver to farm esports capsule, when there is no match intelligent sleep.）”

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⚡Electric

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“The developer's code journal (built on WordPress)”

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🔮Psychic

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“[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".”

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🔮Psychic

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“A PyTorch implementation of CapsNet based on NIPS 2017 paper "Dynamic Routing Between Capsules"”

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🔮Psychic

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“CapsuleNet for Micro-expression Recognition (IEEE FG 2019)”

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⚡Electric

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“Geometries for 3D rendering, including normals, UVs and cell indices (faces). Perfect if you want to supercharge your dependency folder... with 30KB of geometries.”

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🌊Water

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“Create SOPS Secrets on Kubernetes”

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🔮Psychic

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“Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf”

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🔮Psychic

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“A pytorch implementation of Capsule Network.”

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🔮Psychic

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“利用keras搭建的胶囊网络（capsule network文本分类模型，包含RNN、CNN、HAN等，其中keras_utils包含了capsule层和attention层的keras实现”

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📦Normal

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“A Clone version from Original SegCaps source code with enhancements on MS COCO dataset.”