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Achievements

Achievement: Pull Sharkx4Achievement: Pair Extraordinairex4Achievement: Starstruckx2Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx4Achievement: Pair Extraordinairex4Achievement: Starstruckx2Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

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@MeshJS

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jinglescode/README.md

Hong Jing (Jingles)

Software Development • Machine Learning • Blockchain

GitHubGitHubLinkedInLinkedInLinkedInStack Overflow

Currently working on...

  • Mesh SDK, an open-source software development kit library to easily build decentralized applications.

  • Andamio, a decentralized education and contribution management through blockchain-powered innovation.

  • PhD research, applying machine learning to neuroscience and healthcare. Specifically, I work on brain-computer interfaces to diagnose eye problems. It is a fascinating combination between AI and Neuroscience.

  • Write about machine learning, machine learning and self-improvement on my blog and Medium.

Pinned Loading

  1. MeshJS/meshMeshJS/meshPublic

    Collection of comprehensive TypeScript libraries for blockchain development on Cardano.

    TypeScript 270 112

  2. utxos-dev/utxos-sdkutxos-dev/utxos-sdkPublic

    SDK for Web3 Services

    TypeScript 7 7

  3. time-series-forecasting-tensorflowjstime-series-forecasting-tensorflowjsPublic

    Pull stock prices from online API and perform predictions using Long Short Term Memory (LSTM) with TensorFlow.js framework

    HTML 171 50

  4. nostr-url-shortenernostr-url-shortenerPublic

    A free URL shortener service enabled by the NOSTR protocol, that is fast and fuss-free, stripped of all bells and whistles, no gimmicks—it just works!

    TypeScript 78 16

  5. demosdemosPublic

    Some JavaScript works published as demos, mostly ML or DS

    JavaScript 67 43

  6. python-signal-processingpython-signal-processingPublic

    splearn: package for signal processing and machine learning with Python. Contains tutorials on understanding and applying signal processing.

    Jupyter Notebook 86 27