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Hong Jing (Jingles)

Software Development • Machine Learning • Blockchain

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Currently working on...

  • 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.

  • w3, a free URL shortener service that is fast and fuss-free.

  • Satcom, a web extension that add collaborative layer to your Internet browsing experience.

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

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

Hong Jing (Jingles)'s Projects

cardano-js-sdk icon cardano-js-sdk

JavaScript SDK for interacting with Cardano, providing various key management options, with support for popular hardware wallets

demos icon demos

Some JavaScript works published as demos, mostly ML or DS

meditorch icon meditorch

A PyTorch package for biomedical datasets processing, development and testing.

nostr-url-shortener icon nostr-url-shortener

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!

papers icon papers

Summaries of machine learning papers

python-signal-processing icon python-signal-processing

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

ssvep-multi-task-learning icon ssvep-multi-task-learning

Using multi-task learning to capture signals simultaneously from the fovea efficiently and the neighboring targets in the peripheral vision generate a visual response map. A calibration-free user-independent solution, desirable for clinical diagnostics. A stepping stone for an objective assessment of glaucoma patients’ visual field.

torchsignal icon torchsignal

Data manipulation and transformation for signal processing, powered by PyTorch

unity-ml-agents-turret-defense icon unity-ml-agents-turret-defense

A reinforcement learning agent playing as the turret, where its goal is to allow ten friendly units to enter the base, and loses if an enemy unit has entered the base or if two friendly units were shot.

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