Fix integrations overview

docs/integrations/integrations.md

@@ -3,35 +3,38 @@
 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
-* PyTorch
-* TensorFlow
-* Keras
-* Keras Tuner
-* MONAI
-* FastAI
+* [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)
 
-### ML Frameworks and Tools
-* scikit-learn
-* XGBoost
-* LightGBM
-* CatBoost
-* Optuna
-* Matplotlib
-* Seaborn
+### ML Frameworks
+* [scikit-learn](scikit_learn.md)
+* [XGBoost](xgboost.md)
+* [LightGBM](lightgbm.md)
+* [CatBoost](catboost.md)
+* [Seaborn](seaborn.md)
 
-### AutoML and Optimization
-* AutoKeras
-* Hydra
-* Python Fire
+### 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)
 
 ### MLOps and Visualization
-* TensorBoard
-* TensorBoardX
-* OpenMMLab
-* Nvidia TAO
-
-### Production and Deployment
-* YOLO v5
-* YOLO v8
-* jsonargparse
-* LangChain
+* [TensorBoard](tensorboard.md)
+* [TensorBoardX](tensorboardx.md)
+* [Matplotlib](matplotlib.md)
+* [LangChain](langchain.md)
+* [Pytorch Ignite](ignite.md)
+* [Pytorch Lightning](pytorch_lightning.md)