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深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
The most comprehensive database of Chinese poetry 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。
The best design tools and plugins for everything 👉
Visualizer for neural network, deep learning and machine learning models
Roadmap to becoming an Artificial Intelligence Expert in 2022
An alternative side effect model for Redux apps
sketch + style = paints 🎨 (TOG2018/SIGGRAPH2018ASIA)
Lime: Explaining the predictions of any machine learning classifier
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
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A curated list of Machine Learning Surveys, Tutorials and Books.
Pitch detection in Web Audio using autocorrelation
Interactive Notation for Computational Graphs
Metadata and versioning details for the Common Voice dataset
This project represents the 300-dimensional word vectors from word2vec as JSON.
Javascript implementation of a 2D FFT for images. Makes it easy to apply low pass/high pass/band filters.