mps-gm

MPS generative models.

TODO

halt the proliferation of _utils modules
~~MPS sampling methods~~
~~Build some large-N datasets~~
~~package training code from notebooks~~
~~Add GPU support~~ (this is significantly slower than CPU on datasets I've tried so far -- tensors have to be moved to cpu for every SVD)

Name		Name	Last commit message	Last commit date
Latest commit History 243 Commits
.vscode		.vscode
assets		assets
experiments		experiments
mps		mps
papers		papers
test_datasets		test_datasets
.gitignore		.gitignore
README.md		README.md
bond-dimension-testing.ipynb		bond-dimension-testing.ipynb
cutoff-shaking-test-Copy1.ipynb		cutoff-shaking-test-Copy1.ipynb
cutoff-shaking-test.ipynb		cutoff-shaking-test.ipynb
datagen.ipynb		datagen.ipynb
do_hyperparam_selection.py		do_hyperparam_selection.py
do_training.py		do_training.py
gen_mps_datasets.py		gen_mps_datasets.py
ghz-val-and-train.ipynb		ghz-val-and-train.ipynb
ghz_test.ipynb		ghz_test.ipynb
localupdate-multibasis-ghz-training.ipynb		localupdate-multibasis-ghz-training.ipynb
localupdate-multibasis-training.ipynb		localupdate-multibasis-training.ipynb
localupdate-randombasis-ghz.ipynb		localupdate-randombasis-ghz.ipynb
localupdate-randombasis-prod.ipynb		localupdate-randombasis-prod.ipynb
localupdate-randombasis-training.ipynb		localupdate-randombasis-training.ipynb
localupdate-singlebasis.ipynb		localupdate-singlebasis.ipynb
multibasis-nonuniform-test.ipynb		multibasis-nonuniform-test.ipynb
multibasis-test.ipynb		multibasis-test.ipynb
notes.md		notes.md
proto.ipynb		proto.ipynb
rand-U-fidelity-test.ipynb		rand-U-fidelity-test.ipynb
sampling-demo.ipynb		sampling-demo.ipynb
singlebasis-test.ipynb		singlebasis-test.ipynb
training-test.ipynb		training-test.ipynb
validation-test.ipynb		validation-test.ipynb