JuliaGaussianProcesses/TemporalGPs.jl
View on GitHubFast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html
- Stars
- 122
- Forks
- 6
- Open beginner issues
- 0
- Indexed issues
- 12
- Dominant language
- Julia
- License
- MIT
- Last GitHub push
- Apr 1, 2025
- Latest indexed
- Sep 18, 2026
- Contributing guide
- No contributing guide
- Code of conduct
- No code of conduct
- Beginner labels
- good first issue
- PR merge metrics
- No merged PRs in 30d
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Difficulty 4/5 3-5 days Newbie friendliness 25/100
JuliaGaussianProcesses/TemporalGPs.jl#128 · 6 comments ·
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Difficulty 2/5 1-3 hours Newbie friendliness 45/100
JuliaGaussianProcesses/TemporalGPs.jl#119 · 3 comments ·
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Difficulty 5/5 Over a week Newbie friendliness 25/100
JuliaGaussianProcesses/TemporalGPs.jl#116 · 1 reaction ·
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enhancement
Difficulty 5/5 Over a week Newbie friendliness 30/100
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enhancement good first issue
Difficulty 3/5 1-2 days Newbie friendliness 35/100
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Difficulty 3/5 1-2 days Newbie friendliness 30/100
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documentation
JuliaGaussianProcesses/TemporalGPs.jl#91 · 1 assignee ·
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Difficulty 5/5 Over a week Newbie friendliness 25/100
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Difficulty 2/5 1-3 hours Newbie friendliness 50/100
JuliaGaussianProcesses/TemporalGPs.jl#74 · 6 comments · 1 reaction ·
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Non-Stationary GPs Open
Difficulty 5/5 Over a week Newbie friendliness 25/100
JuliaGaussianProcesses/TemporalGPs.jl#60 · 2 comments ·
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More Stationary GPs Open
Difficulty 5/5 Over a week Newbie friendliness 25/100
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Difficulty 3/5 1-2 days Newbie friendliness 25/100
JuliaGaussianProcesses/TemporalGPs.jl#53 · 1 comment ·