Building safe AGI
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Make differentially private training of transformers easy
My ML research codebase
A minimal PyTorch re-implementation of RLHF
2,960 contributions in the last year
Contributed to lxuechen/ml-swissknife, lxuechen/private-transformers, stanford-crfm/helm and 35 other repositories
Created 28 commits in 2 repositories
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554 contributions in private repositories Mar 1 – Mar 25