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GitHub / Alex-Lekov / AutoML_Alex
State-of-the art Automated Machine Learning python library for Tabular Data
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alex-Lekov%2FAutoML_Alex
Stars: 207
Forks: 42
Open Issues: 2
License: mit
Language: Python
Repo Size: 25.9 MB
Dependencies:
137
Created: about 4 years ago
Updated: 21 days ago
Last pushed: 8 months ago
Last synced: 18 days ago
Commit Stats
Commits: 130
Authors: 7
Mean commits per author: 18.57
Development Distribution Score: 0.569
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/Alex-Lekov/AutoML_Alex
Topics: auto-ml, automatic-machine-learning, automl, cross-validation, data-science, data-science-projects, hyperparameter-optimization, hyperparameter-tuning, machine-learning, machine-learning-library, machine-learning-models, ml, model-selection, optimisation, python, sklearn, stacking, stacking-ensemble, xgboost
Files
Dependencies
- python 3.10-buster build
- python 3.9-buster build
- catboost ^1.1.1
- category-encoders ^2.6.0
- lightgbm ^3.3.5
- loguru ^0.6.0
- nbformat ^5.7.3
- numpy ^1.18
- optuna ^3.1.0
- optuna-dashboard ^0.8.1
- pandas ^1.5.3
- psutil ^5.9.4
- python >=3.8,<3.11
- scikit-learn ^1.2.2
- seaborn ^0.12.2
- tqdm ^4.65.0
- xgboost ^1.7.4
- alembic ==1.10.2
- attrs ==22.2.0
- bottle ==0.12.25
- catboost ==1.1.1
- category-encoders ==2.6.0
- cmaes ==0.9.1
- colorama ==0.4.6
- colorlog ==6.7.0
- contourpy ==1.0.7
- cycler ==0.11.0
- fastjsonschema ==2.16.3
- fonttools ==4.39.0
- graphviz ==0.20.1
- greenlet ==2.0.2
- importlib-metadata ==6.0.0
- importlib-resources ==5.12.0
- joblib ==1.2.0
- jsonschema ==4.17.3
- jupyter-core ==5.2.0
- kiwisolver ==1.4.4
- lightgbm ==3.3.5
- loguru ==0.6.0
- mako ==1.2.4
- markupsafe ==2.1.2
- matplotlib ==3.7.1
- nbformat ==5.7.3
- numpy ==1.24.2
- optuna ==3.1.0
- optuna-dashboard ==0.8.1
- packaging ==23.0
- pandas ==1.5.3
- patsy ==0.5.3
- pillow ==9.4.0
- pkgutil-resolve-name ==1.3.10
- platformdirs ==3.1.0
- plotly ==5.13.1
- psutil ==5.9.4
- pyparsing ==3.0.9
- pyrsistent ==0.19.3
- python-dateutil ==2.8.2
- pytz ==2022.7.1
- pywin32 ==305
- pyyaml ==6.0
- scikit-learn ==1.2.2
- scipy ==1.8.1
- seaborn ==0.12.2
- setuptools-scm ==7.1.0
- six ==1.16.0
- sqlalchemy ==2.0.5.post1
- statsmodels ==0.13.5
- tenacity ==8.2.2
- threadpoolctl ==3.1.0
- tomli ==2.0.1
- tqdm ==4.65.0
- traitlets ==5.9.0
- typing-extensions ==4.5.0
- win32-setctime ==1.1.0
- xgboost ==1.7.4
- zipp ==3.15.0
- alembic 1.10.2
- attrs 22.2.0
- bottle 0.12.25
- catboost 1.1.1
- category-encoders 2.6.0
- cmaes 0.9.1
- colorama 0.4.6
- colorlog 6.7.0
- contourpy 1.0.7
- cycler 0.11.0
- fastjsonschema 2.16.3
- fonttools 4.39.0
- graphviz 0.20.1
- greenlet 2.0.2
- importlib-metadata 6.0.0
- importlib-resources 5.12.0
- joblib 1.2.0
- jsonschema 4.17.3
- jupyter-core 5.2.0
- kiwisolver 1.4.4
- lightgbm 3.3.5
- loguru 0.6.0
- mako 1.2.4
- markupsafe 2.1.2
- matplotlib 3.7.1
- nbformat 5.7.3
- numpy 1.24.2
- optuna 3.1.0
- optuna-dashboard 0.8.1
- packaging 23.0
- pandas 1.5.3
- patsy 0.5.3
- pillow 9.4.0
- pkgutil-resolve-name 1.3.10
- platformdirs 3.1.0
- plotly 5.13.1
- psutil 5.9.4
- pyparsing 3.0.9
- pyrsistent 0.19.3
- python-dateutil 2.8.2
- pytz 2022.7.1
- pywin32 305
- pyyaml 6.0
- scikit-learn 1.2.2
- scipy 1.8.1
- scipy 1.10.1
- seaborn 0.12.2
- setuptools-scm 7.1.0
- six 1.16.0
- sqlalchemy 2.0.5.post1
- statsmodels 0.13.5
- tenacity 8.2.2
- threadpoolctl 3.1.0
- tomli 2.0.1
- tqdm 4.65.0
- traitlets 5.9.0
- typing-extensions 4.5.0
- win32-setctime 1.1.0
- xgboost 1.7.4
- zipp 3.15.0