Join a time-traveling adventure where you meet history’s legends while learning Generative AI technologies! ✨

Get ready to embark on an exciting journey as we combine the power of Amazon Bedrock, ReactJS and the AWS JavaScript SDK to create a generative AI application with minimal integration code.

论文 Hinton等的论文 Matrix capsules with EM routing - Hinton, G. E., Sabour, S. and Frosst, N. (2018) Dynamic Routing Between Capsules - Sabour, S., Frosst, N. and Hinton, G.E. (2017) Transforming Auto-encoders - Hinton, G. E., Krizhevsky, A. and Wang, S. D. (2011) A parallel computation that assigns canonical object-based frames of reference. - Hinton, G.E. (1981) Shape representation in parallel systems - Hinton, G.E. (1981) Optimizing Neural Networks that Generate Images - Tijmen Tieleman’s disseration 其他论文 Capsule Network Performance on Complex Data - Xi, E., Bing, S. and Jin, Y. (2017) Accurate reconstruction of image stimuli from human fMRI based on the decoding model with capsule network architecture - Qiao, K., Zhang, C., Wang, L., Yan, B., Chen, J., Zeng, L. and Tong, L., (2018) An Optimization View on Dynamic Routing Between Capsules - Wang, D., Liu, E. (2018) CapsuleGAN: Generative Adversarial Capsule Network Ayush Jaiswal, Wael AbdAlmageed, Premkumar Natarajan. (2018) Spectral Capsule Networks - Bahadori, M. T. (2018) 博客 Max Pechyonkin的胶囊网络入门系列： 胶囊网络背后的直觉 胶囊如何工作 囊间动态路由算法 胶囊网络架构 基于TensorFlow实现胶囊网络 Debarko De的胶囊网络教程，包括注释详尽的胶囊网络实现代码 基于CUDA为胶囊网络实现TensorFlow定制操作 Jos van de Wolfshaar的文章，定制胶囊网络运算的CUDA支持 ISI新研究：胶囊生成对抗网络 用胶囊网络替换CNN作为GAN的判别网络，在MNIST数据集上取得了比卷积GAN更好的表现 Uncovering the Intuition behind Capsule Networks and Inverse Graphic Tanay Kothari的长篇教程 A Visual Representation of Capsule Connections in Dynamic Routing Between Capsules Mike Ross的胶囊网络示意图 Capsule Networks Are Shaking up AI — Here’s How to Use Them Nick Bourdakos的介绍 Capsule Networks Explained Kendrick Tan的解释 Understanding Dynamic Routing between Capsules (Capsule Networks) Jonathan Hui的教程，包括注释详尽的基于Keras的胶囊网络实现代码 Matrix capsules with EM routing Adrian Colyer关于EM路由的文章 Capsule Networks: A Glossary Sebastian Kwiatkowski的胶囊网络术语表 Overview of awesome articles 点评三篇胶囊网络教程 视频 Geoffrey Hinton’s talk: What is wrong with convolutional neural nets? - Geoffrey Hinton在MIT. Brain & Cognitive Sciences的演讲《卷积神经网络的问题在哪里？》 Capsule Networks (CapsNets) – Tutorial - “这视频棒极了。我本希望我能把胶囊解释得这么清楚。”Geoffrey Hinton Capsule networks: overview - 胶囊网络概览，包括向量和矩阵胶囊。 Overview of awesome videos 对以上3个视频的点评。 Capsule Networks: An Improvement to Convolutional Networks Siraj Raval介绍胶囊网络的视频 动态路由实现 官方实现 Sarasra/models 《Dynamic Routing Between Capsules》论文所用的代码 TensorFlow alisure-ml/CapsNet bourdakos1/capsule-networks etendue/CapsNet_TF InnerPeace-Wu/CapsNet-tensorflow jaesik817/adv_attack_capsnet jostosh/capsnet JunYeopLee/capsule-networks laodar/tf_CapsNet leoniloris/CapsNet naturomics/CapsNet-Tensorflow rrqq/CapsNet-tensorflow-jupyter thibo73800/capsnet-traffic-sign-classifier tjiang31/CapsNet winwinJJiang/capsNet-Tensorflow PyTorch acburigo/CapsNet adambielski/CapsNet-pytorch AlexHex7/CapsNet_pytorch aliasvishnu/Capsule-Networks-Notebook-MNIST andreaazzini/capsnet.pytorch cedrickchee/capsule-net-pytorch dragen1860/CapsNet-Pytorch gram-ai/capsule-networks higgsfield/Capsule-Network-Tutorial laubonghaudoi/CapsNet_guide_PyTorch leftthomas/CapsNet nishnik/CapsNet-PyTorch tonysy/CapsuleNet-PyTorch Ujjwal-9/CapsNet Keras fengwang/minimal-capsule gusgad/capsule-GAN mitiku1/Emopy-CapsNet ruslangrimov/capsnet-with-capsulewise-convolution streamride/CapsNet-keras-imdb sunxirui310/CapsNet-Keras theblackcat102/dynamic-routing-capsule-cifar XifengGuo/CapsNet-Keras XifengGuo/CapsNet-Fashion-MNIST Chainer soskek/dynamic_routing_between_capsules Torch mrkulk/Unsupervised-Capsule-Network MXNet AaronLeong/CapsNet_Mxnet GarrickLin/Capsnet.Gluon Soonhwan-Kwon/capsnet.mxnet CNTK Southworkscom/CapsNet-CNTK Lasagne DeniskaMazur/CapsNet-Lasagne Matlab yechengxi/LightCapsNet R dfalbel/capsnet JavaScript alseambusher/capsnet.js Vulcan moothyknight/CapsNet-for-Graphics-Rendering-Optimization EM路由实现 TensorFlow gyang274/capsulesEM www0wwwjs1/Matrix-Capsules-EM-Tensorflow PyTorch shzygmyx/Matrix-Capsules-pytorch 其他资源 Capsule Networks discussion Facebook讨论组 CapsNet-Tensorflow CapsNet-Tensorflow的gitter.im讨论组 Will capsule networks replace neural networks? Quora问答“胶囊网络会取代神经网络吗？” Could GANs work with Hinton’s capsule theory? Quora问答“GAN可以应用Hinton的胶囊理论吗？” Dynamic Routing Between Capsules Kyuhwan Jung对论文《Dynamic routing between Capsules》的评论（slideshare）

Personal learning journey from Sheryians Cohort 2.0, covering full-stack web development, DSA with JavaScript, generative AI, aptitude preparation, and real-world projects.

A next-gen, AI-powered code editor for the modern web. Write HTML, CSS, and JavaScript with a premium Glassmorphism UI, real-time preview, and Magic Build generative AI.

A fully generative Hitchhiker's Guide to the Galaxy, built with AI and JavaScript sorcery. Ask it anything. It’ll make something up. Probably inaccurately.

Introducing DebugCraft: A one-day creation powered by Generative AI, featuring code conversion, real-time debugging, and code quality assessment. Built with HTML, CSS, and JavaScript, it demonstrates my web development skills and adaptability.

This project is a web-based chatbot application. The front end is built with HTML for the structure, CSS for styling, and JavaScript for dynamic functionality. When a user sends a message, the application sends a request to the Google Generative AI API (Gemini 1.5 Flash model) to generate a response.

Stating learing generative ai with javaScript

This project is an e-commerce website designed to offer product customization using generative AI art. Built with HTML, CSS, Vanilla JavaScript, Flask, Python, Stripe API, MongoDB, DALLE-2 API

DrugGEN is an AI-driven platform that accelerates drug discovery using generative models. This project features a user-friendly frontend built with HTML, CSS, and JavaScript, providing an interactive interface for exploring AI-powered drug candidate generation.

CodeSwapper is an advanced code converter software engineered for seamless translation between programming languages, fortified with code debugging and quality assurance functionalities. Leveraging cutting-edge technologies such as Java, Spring Boot, HTML, CSS, JavaScript, and integrated generative AI, this solo project was completed in just 2 days

This is a JavaScript project for experimenting with and implementing Generative AI features using the Gemini API.

Personal portfolio of Aditya Kadam — AI Engineer specializing in Generative AI, RAG, LLMs & Multi-Agent Systems. Built with HTML, CSS & JavaScript

monsterapi is a JavaScript client library for adding Generative AI model capabilities in your application using Monster API. With this package you can send generative AI requests for Large language models hosted by MonsterAPI..

An AI-powered chat application! Built using modern JavaScript technologies like React, this app allows users to interact with famous historical figures. Leveraging various generative AI APIs, it delivers realistic and educational conversation experiences.

A lightweight, browser-based 3D world generator built with HTML, CSS, JavaScript, and Three.js, inspired by Google’s Genie 3 research in generative AI for world creation.

AI-powered chatbot designed with an engaging and fun user interface,It allows users to chat with an AI assistant, and receive smart replies in real time. The project is built with a Flask backend connected to Google Generative AI (Gemini API) and a modern chat-like frontend using HTML, CSS, and JavaScript.

Get ready to embark on an exciting journey as we combine the power of Amazon Bedrock, ReactJS and the AWS JavaScript SDK to create a generative AI application with minimal integration code.

This project was created as a capstone project for the GenAI 101 workshop, showcasing generative AI techniques, prompt engineering, and the basics of creating an interactive app with HTML, CSS, and JavaScript.

Built a Generative AI web app like Gemini using HTML, CSS, and JavaScript, integrated with the Gemini API. Features real-time responses, dynamic UI, and smart interactions. Focused on learning API integration, async JS, and AI-powered user experiences.

A JavaScript library that provides a simple and efficient way to interact with Generative ai JavaScript SDKs and APIS. It is designed to be easy to use and integrate into your existing projects, while also providing powerful features for advanced users.

TechSova is an innovative chatbot application designed for engaging user experiences through conversational AI. Built with HTML, CSS, TailwindCSS, JavaScript, Node.js, and the Vanilla framework, it leverages advanced generative AI technology to create natural dialogues and meaningful interactions.

Generative AI Development Tool for instant UI component creation using Gemini API & Monaco Editor. An intelligent coding assistant that converts natural language into interactive, error-free JSX with live sandboxed previews. Built with Next.js App Router, PostgreSQL, Prisma, and JavaScript.

Poetry Generation using LSTM is a Generative AI web application that creates poems from user-given seed text. The system demonstrates sequence learning concepts using LSTM, with a Node.js backend for poem generation logic and an interactive frontend built using HTML, CSS, and JavaScript.

Welcome to my professional portfolio! I am a passionate full-stack developer specializing in building dynamic, creative, and impactful web solutions. My expertise lies in HTML, CSS, JavaScript, React.js, and generative AI. Through this portfolio, I showcase my journey in blending technology with creativity to deliver exceptional user experiences

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