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timemmert
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differential-ml
Tensorflow and Pytorch implementation of differential machine learning (https://arxiv.org/abs/2005.02347, by Brian Huge and Antoine Savine).
MIT License
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Add mps support
#23
timemmert
closed
1 year ago
0
Add poetry dependency management
#22
michael-fuest
closed
1 year ago
0
Update readme
#21
michael-fuest
opened
1 year ago
0
Standardize naming conventions
#20
timemmert
opened
2 years ago
0
Create integration-test-like example use cases to verify correct working of DML implementations
#19
timemmert
opened
2 years ago
1
Bugfix.
#18
YannickLimmer
closed
2 years ago
0
Correct computation of first Greek in DmlFeedForward
#17
YannickLimmer
opened
2 years ago
0
Evaluate influence of locally non-continuous activation functions
#16
timemmert
opened
2 years ago
0
Dml Network Converter
#15
YannickLimmer
closed
2 years ago
0
Contribution guideline
#14
YannickLimmer
closed
2 years ago
0
Setting guidelines for contributions.
#13
YannickLimmer
closed
2 years ago
1
Create a README.md file.
#12
YannickLimmer
closed
2 years ago
0
Speed-up Automatic Derivative of Activation
#11
YannickLimmer
closed
2 years ago
2
Enable Batching
#10
YannickLimmer
opened
2 years ago
2
Translate to torch
#9
YannickLimmer
closed
2 years ago
0
Conclusive summary of Differential ML Theory
#8
YannickLimmer
opened
2 years ago
1
Initialize Testing
#7
YannickLimmer
opened
2 years ago
0
Presentation of Approximate Functions Example
#6
YannickLimmer
opened
2 years ago
1
Utility for generation of Differential Data
#5
YannickLimmer
opened
2 years ago
0
Understand data normalization & Improve implementation
#4
timemmert
opened
2 years ago
3
DML Network Converter
#3
YannickLimmer
closed
2 years ago
3
Backpropagation Layers
#2
YannickLimmer
closed
2 years ago
3
Translation to PyTorch
#1
YannickLimmer
closed
2 years ago
1