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github.com/dfm/tinygp @v0.3.1
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37 files
114 documented · 26%
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README
tinygp
the tiniest of Gaussian Process libraries
tinygp is an extremely lightweight library for building Gaussian Process (GP)
models in Python, built on top of jax. It has
a nice interface, and it's pretty fast. Thanks to
jax, tinygp supports things like GPU acceleration and automatic
differentiation.
Check out the docs for more info: tinygp.readthedocs.io
Core symbols most depended-on inside this repo
to_densecalled by 44
src/tinygp/solvers/quasisep/core.py
transpose
called by 25
src/tinygp/solvers/quasisep/core.py
ndim
called by 20
src/tinygp/solvers/quasisep/block.py
solve
called by 19
src/tinygp/solvers/quasisep/core.py
log_probability
called by 16
src/tinygp/gp.py
inv
called by 15
src/tinygp/solvers/quasisep/core.py
predict
called by 14
src/tinygp/gp.py
matmul
called by 12
src/tinygp/solvers/quasisep/core.py
Shape
Languages
Python100%
Modules by API surface
src/tinygp/kernels/quasisep.py82 symbols
src/tinygp/solvers/quasisep/core.py77 symbols
src/tinygp/noise.py28 symbols
src/tinygp/kernels/base.py24 symbols
tests/test_solvers/test_quasisep/test_core.py18 symbols
src/tinygp/kernels/stationary.py17 symbols
src/tinygp/solvers/quasisep/block.py16 symbols
src/tinygp/gp.py16 symbols
tests/test_george_compat.py12 symbols
tests/test_kernels/test_quasisep.py11 symbols
src/tinygp/solvers/quasisep/ops.py11 symbols
src/tinygp/solvers/kalman.py11 symbols
For agents
$ claude mcp add tinygp \
-- python -m otcore.mcp_server <graph>