TranslatedThe most comprehensive database of Chinese poetry 🧶 The most comprehensive database of ancient Chinese poetry, covering nearly 14,000 ancient poets of the Tang and Song dynasties, nearly 55,000 Tang poems plus 260,000 Song poems. 1,564 ci poets of the Song period, 21,050 ci poems.
Pure Javascript OCR for more than 100 Languages 📖🎉🖥
Visualizer for neural network, deep learning and machine learning models
Unrestricted Open-source alternative to AI video platforms — Free AI image & video generation studio with 600+ models (Flux, Midjourney, Kling, Sora, Veo). No content filters. Self-hosted, MIT licensed.
sketch + style = paints :art: (TOG2018/SIGGRAPH2018ASIA)
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
Your personal intelligence agent. Watches the world from multiple data sources and pings you when something changes.
modest natural-language processing
- nlp
- part-of-speech
- named-entity-recognition
Lime: Explaining the predictions of any machine learning classifier
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
A modern approach for Computer Vision on the web
Learning Convolutional Neural Networks with Interactive Visualization.
飞鼠格式 FlyingMouse Format - Windows 免费文件格式转换工具(离线可用,内置 FFmpeg/LibreOffice/Poppler/Tesseract)。图片/文档/表格/PPT/PDF/音视频/WPS 格式互转 + OCR + 批量转换;音频仅支持普通格式。作者:牢蜂(LaoFeng)|仅供个人免费使用,禁止商业售卖/转卖/套壳
architecture-free neural network library for node.js and the browser
Examples built with TensorFlow.js
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
Countly is a privacy-first, AI-powered analytics and engagement platform for understanding and optimizing customer journeys across digital applications, from desktop and mobile to IoT and connected environments.
- web-analytics
- dashboard
- mobile-analytics
- analytics
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
:house: Home Assistant configuration & Documentation for my Smart House. Write-ups, videos, part lists, and links throughout. Be sure to :star: it. Updated FREQUENTLY!
Run Keras models in the browser, with GPU support using WebGL
Natural language detection
- javascript
- natural-language
- language-detection
- nlp
Framework for serverless Decentralized Applications using Ethereum, IPFS and other platforms
OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.
A library for prototyping realtime hand detection (bounding box), directly in the browser.