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nmrenyi
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ReChorus
“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.
MIT License
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Finish Exp Code
#21
nmrenyi
closed
2 years ago
0
different metrics between kmeans and random clustering when #shard is 1
#20
nmrenyi
closed
2 years ago
1
select random unlearning targets when evaluating retraining time in kmeans
#19
nmrenyi
closed
2 years ago
3
Automated HR/NDCG Evaluation
#18
nmrenyi
closed
2 years ago
0
Automated Retraining Evaluation
#17
nmrenyi
closed
2 years ago
0
Time Retraining
#16
nmrenyi
closed
2 years ago
0
Add Unlearning API
#15
nmrenyi
closed
2 years ago
0
Add unique id for each interaction
#14
nmrenyi
closed
2 years ago
1
merge training and testing arguments
#13
nmrenyi
closed
2 years ago
1
Aggregate testing output and evaluate the aggregated result
#12
nmrenyi
closed
2 years ago
0
refactor training code to use ReChorus as a package
#11
nmrenyi
closed
2 years ago
0
Refactor training code
#10
nmrenyi
closed
2 years ago
0
Train shards
#9
nmrenyi
closed
2 years ago
0
Parallel shards training
#8
nmrenyi
closed
2 years ago
1
Evaluate aggregated output prediction scores
#7
nmrenyi
closed
2 years ago
0
Add a module for output aggregation
#6
nmrenyi
closed
2 years ago
0
Add module for aggregated training
#5
nmrenyi
closed
2 years ago
0
aggregated test phase input (u, i) and separated training input (u, i) mismatch
#4
nmrenyi
closed
2 years ago
12
Add slicing options
#3
nmrenyi
closed
2 years ago
1
Add unlearning API
#2
nmrenyi
closed
2 years ago
1
Add test input API
#1
nmrenyi
closed
2 years ago
2