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This is a repository containing of the implementation of Dirichlet process using CRP (Chinese Restaurant Process)
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This is my personal code storage place I wrote for practicing network programming with Rust.
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This is the repository of the experimental code for the lecture of cryptography.
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694 contributions in the last year
Contribution activity
August 2020
Created a pull request in optuna/optuna that received 1 comment
Add `GPyOpt` integration as `integrations/GpyoptSampler`
Depends on #1587.
Motivation
GPyOpt is one of the most famous Bayesian optimization libraries based on the Gaussian process bandit optimization. Th…
- Add tfkeras simple example
- Fix incorrect type annotations for args and kwargs
- Deprecate `optuna.integration.KerasPruningCallback`
- Update type hints in `optuna/pruners/_base.py` and `optuna/pruners/_successive_halving.py`
- Add type hints to `test_optimization_history.py`
- Add `pyproject.toml` for easier use of black.
- Enable flake8 E231
- Add type hints into optuna/dashboard.py, optuna/integration/__init__.py
- Add type hints to optuna/trial
- Ignore vscode configs
- LightGBM Tuner import code fixes
- Add type hints to optuna/storages/__init__.py
- Add type hints integration/_lightgbm_tuner
- Remove generated directories with `make clean`
- Fix `docs/Makefile`
- Use cache-from to build docker image faster
- Add code comment about n_ei_candidates for categorical parameters.
- Refactor TPE's `sample_from_categorical_dist`
- Add link to examples in tutorial
- Add type hints into optuna/integration/keras.py
- Add `.dockerignore`.
- Fix invalid YAML syntax
- [DEPENDS ON #1594] Add `cache` to GitHub Actions Workflows
- Update key features.
- Add a news section to `README.md`
- Some pull request reviews not shown.
Created an issue in optuna/optuna that received 3 comments
Document how each sampler treat pruned trials and failed trials
Motivated by useful discussions at #1552. Motivation How each sampler in Optuna treat pruned trials and failed trials is different depending on eac…