CSM Optimization and Machine Learning group
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decoding-gpt
decoding-gpt PublicCSM course on the mathematics of Large Language Models, Developed by Michael Ivanitskiy and Samy Wu Fung
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- pft-for-ptycho Public
mines-opt-ml/pft-for-ptycho’s past year of commit activity - robust-maze-learning Public
mines-opt-ml/robust-maze-learning’s past year of commit activity - jfbr Public
mines-opt-ml/jfbr’s past year of commit activity - DYS-NET-SCE Public Forked from JayMan91/DYS-NET-SCE
Code for the ECAI 2025 paper "Minimizing Surrogate Losses for Decision-Focused Learning using Differentiable Optimization"
mines-opt-ml/DYS-NET-SCE’s past year of commit activity - mean-field-cbf Public
mines-opt-ml/mean-field-cbf’s past year of commit activity - spatialtransform Public Forked from amillane/spatialtransform
Spatial Transformation R and Python Function for spatially correlated data
mines-opt-ml/spatialtransform’s past year of commit activity - decoding-gpt Public
CSM course on the mathematics of Large Language Models, Developed by Michael Ivanitskiy and Samy Wu Fung
mines-opt-ml/decoding-gpt’s past year of commit activity - ZO-LLM Public Forked from ZO-Bench/ZO-LLM
[ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".
mines-opt-ml/ZO-LLM’s past year of commit activity - fpo-dys Public
Operator splitting can be used to design easy-to-train models for predict-and-optimize tasks, which scale effortlessly to problems with thousands of variables.
mines-opt-ml/fpo-dys’s past year of commit activity
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