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habakan/README.md

habakan

Interested in

  • On-device Bayesian and ML inference
  • Local LLMs for the cases where a frontier model is too much
  • Probabilistic programming
  • WebAssembly
  • MoonBit
  • Agent harness design
  • Kaggle / Numerai, and agents that run the competition loop themselves
  • Bitcoin
  • Blockchain

Before

2015–2018 CTF, memory forensics, network anomaly detection
2019–2021 Computer vision on the edge — quantization-aware training, EdgeTPU
2021–2023 Tabular ML and MLOps
2024– Generative AI, agents, WebAssembly

Python · TypeScript · Rust · WebAssembly · PyTorch · Stan · AWS · Cloudflare

Pinned Loading

  1. tapewasm tapewasm Public

    Compile a log density to a WebAssembly module and draw from it in the browser. The autodiff tape and its emitter.

    Rust

  2. stanwasm stanwasm Public

    Stan probabilistic models compiled and sampled entirely inside the browser. Pure Rust, single wasm bundle, embedded nuts-rs sampler, zero backend required.

    Rust 1

  3. moonbit-gpt-edge-demo moonbit-gpt-edge-demo Public

    JavaScript 9

  4. deep_colab_zoo deep_colab_zoo Public

    Sample Code for Deep Learning OSS in Google Colaboratory

    Jupyter Notebook

  5. object-detection-api-for-edgetpu object-detection-api-for-edgetpu Public

    Quantization-aware training using Tensorflow Object Detection API and compile Edge TPU model.

    Python 3 2

  6. dotfiles dotfiles Public

    Shell