AWESOME DATA SCIENCE
Section: Miscellaneous Tools · Machine Learning in Python
FreshScore 92
Entry
Scikit-Learn
Appears in 5 awesome lists
GridSearchCV, RandomizedSearchCV. sklearn-deap - Hyperparameter search using genetic algorithms. hyperopt - Hyperparameter optimization. hyperopt-sklearn - Hyperopt + sklearn. optuna - Hyperparamter optimization, Talk. skopt - BayesSearchCV for Hyperparameter search. tune - Hyperparameter search…
Found in these lists
Awesome Python Data Science
Section: General Purpose Machine Learning · Machine learning in Python.
ActiveScore 71
Awesome Data Science with Python
Section: General · GridSearchCV, RandomizedSearchCV. sklearn-deap - Hyperparameter search using genetic algorithms. hyperopt - Hyperparameter optimization. hyperopt-sklearn - Hyperopt + sklearn. optuna - Hyperparamter optimization, Talk. skopt - BayesSearchCV for Hyperparameter search. tune - Hyperparameter search…
FreshScore 82
Table of Contents
Section: ML frameworks & applications · is a Python module for machine learning built on top of SciPy, NumPy, and matplotlib, making it easier to apply robust and simple implementations of many popular machine learning algorithms.
SlowScore 61
Table of Contents
Section: Computer Vision Tools, Libraries, and Frameworks · is a Python module for machine learning built on top of SciPy, NumPy, and matplotlib, making it easier to apply robust and simple implementations of many popular machine learning algorithms.
SlowScore 51
Often listed next to it
m2cgen
Transpile trained ML models into other languages. sklearn-porter - Transpile trained scikit-learn estimators to C, Java, JavaScript and others. mlflow - Manage the machine learning lifecycle, including experimentation, reproducibility and deployment. skll - Command-line utilities to make it easier…
In 16 listsDetails
Opik
Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…
In 16 listsDetails
Apache Airflow
"Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it…
In 13 listsDetails
Ray
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io
In 13 listsDetails
Gradio
Build and share delightful machine learning apps, all in Python. The de facto standard for creating interactive ML demos with automatic UI generation from function signatures. Powers thousands of Hugging Face Spaces.
In 11 listsDetails
Prefect
Workflow management system that makes it easy to take your data pipelines and add semantics like retries, logging, dynamic mapping, caching, failure notifications, and more.
In 11 listsDetails