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Final Project for Machine Learning Practical (2024) @ UoE
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Mouleesh 4a914bf551 Code for the graph
2024-03-19 17:16:56 +00:00
network comment 2024-03-13 16:30:34 +00:00
report@6761671410 Added report submodule 2024-03-10 20:38:09 +00:00
.gitignore TEST: use tensorboard for stuff 2024-03-04 20:32:26 +00:00
.gitmodules Added report submodule 2024-03-10 20:38:09 +00:00
_DDPShA-train.sh TEST: use tensorboard for stuff 2024-03-04 20:32:26 +00:00
_DDPShB-base-train.sh TEST: use tensorboard for stuff 2024-03-04 20:32:26 +00:00
_ShA-base-train.sh More training scripts 2024-03-06 01:38:21 +00:00
_ShA-fb-train.sh More training scripts 2024-03-06 01:38:21 +00:00
_ShA-train.sh More training scripts 2024-03-06 01:38:21 +00:00
_ShB-base-train.sh More training scripts 2024-03-06 01:38:21 +00:00
_ShB-train.sh More training scripts 2024-03-06 01:38:21 +00:00
arguments.py FEATURE: export to DataFrame in hdf5 2024-03-06 02:37:18 +00:00
checkpoint.py Added dummy input for one-shot size-checking 2024-02-29 18:44:42 +00:00
dataset.py TEST: train on gt_count instead of kpoint 2024-03-04 01:49:09 +00:00
preprocess_data.py ... 2024-03-06 03:26:28 +00:00
README.md Added report submodule 2024-03-10 20:40:50 +00:00
Shangai-A_datasets.png Filtered file graphs 2024-03-19 17:14:05 +00:00
Shangai-B_dataset.png Filtered file graphs 2024-03-19 17:14:05 +00:00
train.py Edited loss fn to incorporate index of dispersion 2024-03-06 22:37:54 +00:00
util.py TEST: use tensorboard for stuff 2024-03-04 20:32:26 +00:00
visualize.py Code for the graph 2024-03-19 17:16:56 +00:00

README.md

mlp-project

report submodule linked to Overleaf.