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MadryLab
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trak
A fast, effective data attribution method for neural networks in PyTorch
https://trak.csail.mit.edu/
MIT License
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FAILED tests/test_rademacher.py::test_odd - AssertionError: Expected <True>, but was not.
#23
xszheng2020
closed
1 year ago
1
CIFAR-10 Trak Scores Reproduction
#22
vasusingla
closed
1 year ago
5
Default to `BasicProjector` if `fast_jl` import fails
#21
kristian-georgiev
closed
1 year ago
3
Add instructions for using `BasicProjector`
#20
kristian-georgiev
closed
1 year ago
1
Add `allow_skip` to `finalize_scores`
#19
kristian-georgiev
closed
1 year ago
1
Fix a bit typo README
#18
guspan-tanadi
closed
1 year ago
0
0.1.1
#17
kristian-georgiev
closed
1 year ago
0
Tutorial for CLIP model output
#16
kristian-georgiev
closed
1 year ago
1
NLP model output
#15
kristian-georgiev
closed
1 year ago
1
Concurrent TRAKer init (with diff model id) in same save dir may lead to I/O errors
#14
kristian-georgiev
closed
1 year ago
1
Do not allocate train x target score matrix for each model ID
#13
kristian-georgiev
closed
1 year ago
1
Make `fast_jl` a separate package, add it as an optional dependency to `trak`
#11
kristian-georgiev
closed
1 year ago
1
Implement soft thresholding
#10
kristian-georgiev
closed
1 year ago
2
Add `start_scoring` to simplify keeping track of target gradients
#9
kristian-georgiev
closed
1 year ago
2
Fix model ID loading
#8
bencw99
closed
1 year ago
0
Redesign API
#7
kristian-georgiev
closed
1 year ago
1
merge fast JL code
#6
kristian-georgiev
closed
1 year ago
1
sklearn-style API for image classification models
#5
kristian-georgiev
closed
1 year ago
0
Make `block_size` adapt to available RAM/GPU VRAM
#4
kristian-georgiev
closed
1 year ago
1
Proper docstrings
#3
kristian-georgiev
closed
1 year ago
6
Implement `zarr` saver
#2
kristian-georgiev
closed
1 year ago
0
Allow taking gradients with respect to a subset of the model's parameters
#1
kristian-georgiev
closed
1 year ago
4
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