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alikhalilli/README.md

Ali Khalilli

Co-founder of deterministic labs. We build machine intelligence whose answers are made to be checked, not believed. First product ships soon.

I write at circuit about the mathematics inside neural networks, starting with a six-part series on superposition. The lab writes too: firm ground.

Open source:

  • linearly: a free, visual-first linear algebra course for people building AI, following MIT 18.06; I wrote and taught the lectures live in 2022 and 2023, before the LLM era
  • deepsense: drug discovery with graph and convolutional networks
  • wabbitc: a compiler with two backends, LLVM and WebAssembly encoded from the core spec
  • aioraft: the Raft consensus algorithm on asyncio, implemented from the paper
  • aiodiameter: a pure-Python Diameter protocol stack (RFC 6733), written against a live telecom charging system

khalilli.ai

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  1. linearly linearly Public

    The math of AI, drawn and coded. A free, visual-first linear algebra course following MIT 18.06.

    MDX 1

  2. deepsense deepsense Public

    Drug discovery with graph, convolutional and transformer models

    TeX

  3. vllm vllm Public

    Forked from vllm-project/vllm

    A high-throughput and memory-efficient inference and serving engine for LLMs

    Python

  4. wabbitc wabbitc Public

    A compiler for the Wabbit language in Python: LLVM backend via textual IR, WebAssembly backend encoded from the core spec

    Python

  5. aiodiameter aiodiameter Public

    Pure-Python Diameter protocol stack (RFC 6733) on asyncio — binary AVP codec, peer state machine, watchdog, credit-control sessions, Ericsson SCAP

    Python

  6. MachineLearning MachineLearning Public

    Early machine learning notebooks: NumPy, CNNs, RNNs, capsule networks

    Jupyter Notebook 1