feat: add mlflow to Machine Learning

Mints an Experiment Tracking use case, since General holds modeling libraries; mlflow is its obvious choice at 19,887,934 downloads/month.

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Vinta Chen
2026-11-08 21:58:42 +08:00
co-authored by Claude
parent dfac20ba3e
commit df518203bc
+2
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@@ -225,6 +225,8 @@ _Libraries for machine learning. Also see [awesome-machine-learning](https://git
- Hyperparameter Optimization
- [optuna](https://github.com/optuna/optuna) - A hyperparameter optimization framework with define-by-run search spaces and pruning of unpromising trials.
- [hyperopt](https://github.com/hyperopt/hyperopt) - Distributed asynchronous hyperparameter optimization with Tree-structured Parzen Estimators.
- Experiment Tracking
- [mlflow](https://github.com/mlflow/mlflow) - An open-source platform for tracking experiments, managing models, and evaluating LLM apps.
### Natural Language Processing