f-dangel / curvlinops / 11944394687

Builds Branch Commit Type Ran Committer Via Coverage
11944394687 jacobian-linop [REF] Re-cycle `data_prediction_loss_gradient` push f-dangel github
89.51
11944312542 jacobian-linop Merge branch 'main' into jacobian-linop push f-dangel github
89.52
11944312725 jacobian-linop Merge 0c6933b3a into bd797044c Pull #147 web-flow github
89.52
11944028535 main [ADD] Change GGN to purely PyTorch (#146) * [ADD] Minimal linear operator interface for PyTorch * [FIX] Linters * [ADD] Replicate current base class but inherit from `PyTorchLinearOperator` * [DEL] Unused import * [ADD] Implement Hess... push web-flow github
91.87
11944019166 ggn-linop Merge 802596412 into 5e118e9fe Pull #146 web-flow github
88.6
11944018924 ggn-linop [DOC] Update changelog push f-dangel github
88.6
11670932829 ggn-linop [FIX] Convert `bfloat16` to `float32` before calling `.numpy` Pull #146 f-dangel github
88.6
11670673102 ggn-linop [FIX] Try using more iterations in Neumann inverse test Pull #146 f-dangel github
88.64
11670495773 main [ADD] Change Hessian to purely PyTorch (#145) * [ADD] Minimal linear operator interface for PyTorch * [FIX] Linters * [ADD] Replicate current base class but inherit from `PyTorchLinearOperator` * [DEL] Unused import * [ADD] Implement ... push web-flow github
91.88
11670381568 hessian-linop [FIX] Decrease `tol` for power iteration Pull #145 f-dangel github
88.61
11670381954 hessian-linop Merge 683ea1abb into 2ae34be70 Pull #145 web-flow github
88.61
11670105543 hessian-linop [FIX] RTD examples Pull #145 f-dangel github
88.61
11667647392 hessian-linop Merge branch 'main' into hessian-linop Pull #145 f-dangel github
88.61
11667648288 hessian-linop Merge d63a8967b into 2ae34be70 Pull #145 web-flow github
88.61
11667562849 main [REF] Replicate base class, but inherit from PyTorch linear operator (#142) * [ADD] Minimal linear operator interface for PyTorch * [FIX] Linters * [ADD] Replicate current base class but inherit from `PyTorchLinearOperator` * [DEL] Unuse... push web-flow github
89.7