This is your work, valued

Greg Yang

Elite
@thegregyang

Mathematician and AI researcher @ xAI. Morgan Prize Honorable Mention 2018.

GP4A. Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"

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NTK4A. Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"

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LossUpAccUp. Loss and accuracy go opposite ways...right?

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NNspectra. Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube

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neural-tangents. Fast and Easy Infinite Neural Networks in Python

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dfa-scales-to-modern-deep-learning. Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural language processing.

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pytorch-meta. A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

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transformers. 🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration

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azure-docs. Open source documentation of Microsoft Azure

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LaTeX-Workshop-wiki. Public repo for contributing to https://github.com/James-Yu/LaTeX-Workshop/wiki

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