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nickgreenquist
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cu2rec
CUDA Implementation of Parallel Matrix Factorization Algorithm for Recommender Systems
GNU Affero General Public License v3.0
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One does not simply prepare for final submission
#52
nickgreenquist
closed
5 years ago
0
Change test to validation, add 3-way dataset split
#51
nickgreenquist
opened
5 years ago
0
Add all variables in config.h to actual config files that are read in
#50
nickgreenquist
opened
5 years ago
0
Check the number of actual updates being done
#49
dorukkilitcioglu
opened
5 years ago
0
P and Q factors to registers, implement early bird wins the gradient
#48
nickgreenquist
closed
5 years ago
0
Look at ways of parallelizing over factors
#47
dorukkilitcioglu
opened
5 years ago
0
Use Unsigned Integers instead of floats at all
#46
nickgreenquist
opened
5 years ago
0
Drop floats to half precision
#45
nickgreenquist
opened
5 years ago
0
Add Atomic write to Q_target and item_bias_target
#44
nickgreenquist
closed
5 years ago
1
delete recommendations folder
#43
nickgreenquist
closed
5 years ago
0
put train and test losses in seperate streams
#42
nickgreenquist
opened
5 years ago
0
Netflix
#41
dorukkilitcioglu
closed
5 years ago
0
MF cpu version
#40
nickgreenquist
closed
5 years ago
0
add n_threads to config, clean up minor other things
#39
nickgreenquist
closed
5 years ago
0
Add every constant value to Config
#38
nickgreenquist
closed
5 years ago
0
Expirement with larger block dimensions
#37
nickgreenquist
closed
5 years ago
1
make cu2rec item agnostic
#36
nickgreenquist
closed
5 years ago
0
Handle matrices with missing users
#35
dorukkilitcioglu
closed
5 years ago
1
Add unit test for total loss kernel
#34
dorukkilitcioglu
closed
5 years ago
1
Total loss
#33
dorukkilitcioglu
closed
5 years ago
0
Working code for 20m ratings test/train split
#32
nickgreenquist
closed
5 years ago
0
compute single loss in sgd, move prediction code to devicde function,…
#31
nickgreenquist
closed
5 years ago
0
Add Train/Test split
#30
nickgreenquist
closed
5 years ago
0
add test/train split
#29
nickgreenquist
closed
5 years ago
0
Implement Training Loop Termination using Patience
#28
nickgreenquist
closed
5 years ago
0
Implement adaptive Learning Rate
#27
nickgreenquist
closed
5 years ago
0
Comments & documentation
#26
dorukkilitcioglu
closed
5 years ago
2
Partial fit
#25
dorukkilitcioglu
closed
5 years ago
0
Remove local vars in kernels that are used only once
#24
nickgreenquist
closed
5 years ago
0
Put user bias into shared memory in SGD
#23
dorukkilitcioglu
closed
5 years ago
1
Training should depend on the config
#22
dorukkilitcioglu
closed
5 years ago
1
Turn config into JSON
#21
dorukkilitcioglu
opened
5 years ago
0
Remove utils.cuh
#20
dorukkilitcioglu
closed
5 years ago
0
Merge config branch
#19
dorukkilitcioglu
closed
5 years ago
0
Partial fit
#18
dorukkilitcioglu
closed
5 years ago
2
P and Q regularization
#17
dorukkilitcioglu
closed
6 years ago
1
refactor read_csv to util, add code to write trained components to files
#16
nickgreenquist
closed
6 years ago
0
Create config struct for hyperparameters
#15
dorukkilitcioglu
closed
5 years ago
5
Add Global Bias
#14
nickgreenquist
closed
6 years ago
0
add item and user bias to loss, sgd, and trainining code
#13
nickgreenquist
closed
6 years ago
0
Multi-GPU Grid Search for Hyperparameters
#12
nickgreenquist
opened
6 years ago
0
Performance Comparisons
#11
dorukkilitcioglu
closed
5 years ago
1
K-Fold validation?
#10
dorukkilitcioglu
closed
5 years ago
1
Minibatch gradient descent
#9
dorukkilitcioglu
opened
6 years ago
3
Normalize gradient updates by the number of training examples
#8
dorukkilitcioglu
closed
5 years ago
2
Get recommendations for a new user
#7
dorukkilitcioglu
closed
5 years ago
2
Add Dot Product usable in Kernels
#6
nickgreenquist
closed
5 years ago
1
Output Trained P and Q to files
#5
nickgreenquist
closed
5 years ago
1
Add User/Item Bias to Loss and SGD
#4
nickgreenquist
closed
6 years ago
0
Add training loop and test
#3
dorukkilitcioglu
closed
5 years ago
2
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