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@stanfordnlp @VectorInstitute @lxuechen-org @stanford-crfm

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lxuechen/README.md

I like big neural networks and good datasets.

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  1. tatsu-lab/stanford_alpaca tatsu-lab/stanford_alpaca Public

    Code and documentation to train Stanford's Alpaca models, and generate the data.

    Python 29.7k 4.1k

  2. tatsu-lab/alpaca_farm tatsu-lab/alpaca_farm Public

    A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.

    Python 787 59

  3. tatsu-lab/alpaca_eval tatsu-lab/alpaca_eval Public

    An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

    Jupyter Notebook 1.6k 246

  4. google-research/torchsde google-research/torchsde Public

    Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

    Python 1.6k 202

  5. private-transformers private-transformers Public

    A codebase that makes differentially private training of transformers easy.

    Python 164 23

  6. ml-swissknife ml-swissknife Public

    An ML research codebase built with friends :)

    Jupyter Notebook 21 3