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CS PhD student @ Stanford. BS @ USTC.
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Stanford University
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11:03
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- @ShirleyYXWu
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Finetune Llama 3, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.
Pytorch implementation of Graph U-Nets (ICML19)