Software
skglm
Generalized linear models with sparse and structured regularization solvers.
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Generalized linear models with sparse and structured regularization solvers.
Native PyTorch post-training recipes for investigating reproducible adaptation and checkpoint/configuration handling.
GPU programming language and compiler for developing inspectable tensor kernels and testing numerical/performance tradeoffs.
Language-model post-training components for controlled comparisons of supervised and preference-based optimization objectives.
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