https://github.com/GPflow/GPflow
Revision bb3d1f44865b73b4fd8ad7e98410bac073a57202 authored by st-- on 19 September 2018, 13:48:08 UTC, committed by GitHub on 19 September 2018, 13:48:08 UTC
Minor code changes: - adds rich representation to Parameter(ized) objects so `m.as_pandas_table()` can be replaced by `m` for pretty-printing in jupyter notebooks - updates priors to have prettier printing (and more value checks) Notebooks - coreg_demo.ipynb: clean-up, typo fixes - models.ipynb: clean-up, now actually consistent with current (gpflow-1.0) architecture - kernels.ipynb: clean-up Documentation - updates various links in README.md (JH's webpage, readthedocs, tensorflow installation) - adds all currently existing notebooks to the documentation (under new section "advanced tutorials") Stand-alone .py demo scripts in doc/source/notebooks/ - makes them runnable with current gpflow version - adds "unmaintained" warning header
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Tip revision: bb3d1f44865b73b4fd8ad7e98410bac073a57202 authored by st-- on 19 September 2018, 13:48:08 UTC
Clean up notebooks and documentation (#849)
Clean up notebooks and documentation (#849)
Tip revision: bb3d1f4
roadmap.md
This document covers major planned development items for GPflow.
# Computational speed
- Add further benchmarks to [benchmark repository](https://github.com/GPflow/GPflowBenchmarks) including multiple GPUs.
- Incorporate remaining Tom Nickson GPU code from [branch](https://github.com/c0g/tomserflow) into TensorFlow main.
# Features
- Add ability to exploit Kronecker structure.
# Housekeeping
- See also issues marked "enhancement" in the GitHub [list](https://github.com/GPflow/GPflow/issues).
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