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IntelLabs
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ais-benchmarks
A framework, based on python and numpy, for evaluation of sampling methods
MIT License
10
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3
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Create LICENSE
#17
jkmarz
closed
2 weeks ago
0
Added setup.py
#16
Velythyl
opened
9 months ago
0
Implement visualization module
#15
jfelip
opened
1 year ago
1
Testing: JSD tests fail
#14
jfelip
opened
2 years ago
0
Documentation: Metrics
#13
jfelip
opened
2 years ago
0
APIS Implementation
#12
jfelip
opened
2 years ago
0
Add cylinder distribution. Non-gaussian but that integrates to 1
#11
jfelip
opened
2 years ago
0
Implement the benchmark generator
#10
jfelip
opened
2 years ago
0
Metric: Implement Wasserstein distance
#9
jfelip
opened
2 years ago
0
Find a way to add the tags of each distribution on a single cell of the output file
#8
jfelip
opened
2 years ago
0
Document the process to implement a new sampling algorithm to be evaluated by the framework
#7
jfelip
opened
2 years ago
0
Fix a bug with the NESS for sampled methods
#6
jfelip
opened
2 years ago
0
Distributions implementation: ABCDistribution
#5
jfelip
opened
2 years ago
0
Distributions implementation: CGaussianMixtureModel
#4
jfelip
opened
2 years ago
0
Distributions implementation: CMultivariateNormal
#3
jfelip
opened
2 years ago
0
Discussion on applications
#2
jfelip
opened
2 years ago
0
Update README.md
#1
jfelip
opened
2 years ago
0