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GitHub / 4paradigm / AutoX
AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/4paradigm%2FAutoX
Stars: 493
Forks: 128
Open Issues: 20
License: apache-2.0
Language: Jupyter Notebook
Repo Size: 72 MB
Dependencies:
145
Created: almost 3 years ago
Updated: 24 days ago
Last pushed: about 1 year ago
Last synced: 13 days ago
Topics: kaggle, machine-learning, python
Files
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Readme
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Dependencies
- Pillow *
- decord >=0.4.1
- einops *
- matplotlib *
- numpy *
- opencv-contrib-python *
- scipy *
- torch >=1.3
- docutils ==0.16.0
- einops *
- myst-parser *
- opencv-python *
- scipy *
- sphinx ==4.0.2
- sphinx_copybutton *
- sphinx_markdown_tables *
- sphinx_rtd_theme ==0.5.2
- mmcv *
- titlecase *
- torch *
- torchvision *
- coverage *
- flake8 *
- interrogate *
- isort ==4.3.21
- protobuf <=3.20.1
- pytest *
- pytest-runner *
- xdoctest >=0.10.0
- yapf *
requirements.txt
pypi
- datasets *
- gensim *
- img2vec_pytorch *
- keras *
- lightgbm *
- numpy *
- optuna *
- pandas *
- pypinyin *
- sklearn *
- tensorflow *
- torch *
- tqdm *
- transformers *
- xgboost *
setup.py
pypi
- datasets *
- gensim *
- glove-python-binary *
- img2vec_pytorch *
- keras *
- lightgbm *
- numpy *
- optuna *
- pandas *
- pyarrow >=6.0.0
- pypinyin *
- pytorch-tabnet *
- sklearn *
- tensorflow *
- torch *
- tqdm *
- transformers *
- xgboost *
- pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
- pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build