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# ClearML Integrations
ClearML seamlessly integrates with a wide range of popular machine learning frameworks, tools, and platforms to enhance your ML development workflow. Our integrations enable automatic experiment tracking, model management, and pipeline orchestration across your preferred tools.
### Deep Learning Frameworks
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* [PyTorch ](pytorch.md )
* [TensorFlow ](tensorflow.md )
* [Keras ](keras.md )
* [YOLO v5 ](yolov5.md )
* [YOLO v8 ](yolov8.md )
* [MMEngine ](mmengine.md )
* [MMCV ](mmcv.md )
* [MONAI ](monai.md )
* [Nvidia TAO ](tao.md )
* [MegEngine ](megengine.md )
* [FastAI ](fastai.md )
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### ML Frameworks
* [scikit-learn ](scikit_learn.md )
* [XGBoost ](xgboost.md )
* [LightGBM ](lightgbm.md )
* [CatBoost ](catboost.md )
* [Seaborn ](seaborn.md )
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### Configuration and Optimization
* [AutoKeras ](autokeras.md )
* [Keras Tuner ](keras_tuner.md )
* [Optuna ](optuna.md )
* [Hydra ](hydra.md )
* [Click ](click.md )
* [Python Fire ](python_fire.md )
* [jsonargparse ](jsonargparse.md )
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### MLOps and Visualization
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* [TensorBoard ](tensorboard.md )
* [TensorBoardX ](tensorboardx.md )
* [Matplotlib ](matplotlib.md )
* [LangChain ](langchain.md )
* [Pytorch Ignite ](ignite.md )
* [Pytorch Lightning ](pytorch_lightning.md )
