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Graphcore Research

Graphcore Research

Our research team’s mission is to follow and contribute to the advancement of AI research, aiming to characterize the computational requirements of machine intelligence.

To learn more about the Graphcore research team and the work we’ve been doing, check out our blog and recent papers.

We also publish a papers-of-the-month blog post / newsletter, which you can subscribe to here.

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  1. unit-scaling unit-scaling Public

    A library for unit scaling in PyTorch

    Jupyter Notebook 125 9

  2. bess-kge bess-kge Public

    A PyTorch library for Knowledge Graph Embedding on Graphcore IPUs implementing the distribution framework BESS

    Jupyter Notebook 3 2

  3. jax-scalify jax-scalify Public

    JAX Scalify: end-to-end scaled arithmetics

    Python 16

  4. llm-inference-research llm-inference-research Public

    An experimentation platform for LLM inference optimisation

    Jupyter Notebook 31 4

  5. gfloat gfloat Public

    Generic floating-point types in Python

    Python 13 3

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