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mkdocs.yml
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mkdocs.yml
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site_name: super-gradients
nav:
- Welcome:
- Intro: ./documentation/source/welcome.md
- Installation: ./documentation/source/installation.md
- Model Zoo: ./documentation/source/model_zoo.md
- Quick Start:
- Basic: ./documentation/source/QuickstartBasicToolkit.md
- Classification: ./documentation/source/Example_Classification.md
- Object Detection: ./documentation/source/ObjectDetection.md
- Segmentation: ./documentation/source/Segmentation.md
- Pose Estimation: ./documentation/source/PoseEstimation.md
- Training an external model: ./documentation/source/Example_Training-an-external-model.md
- Tutorials:
- Models: ./documentation/source/models.md
- Dataset:
- Data: ./documentation/source/Data.md
- Computer Vision Datasets: ./src/super_gradients/training/datasets/Dataset_Setup_Instructions.md
- Loss functions: ./documentation/source/Losses.md
- LR schedulers: ./documentation/source/LRScheduling.md
- Metrics: ./documentation/source/Metrics.md
- Optimizers: ./documentation/source/optimizers.md
- Phase Callbacks: ./documentation/source/PhaseCallbacks.md
- YAMLs and Recipes:
- Configurations: ./documentation/source/configuration_files.md
- Recipes: ./src/super_gradients/recipes/Training_Recipes.md
- Checkpoints: ./documentation/source/Checkpoints.md
- Docker: ./documentation/source/SGDocker.md
- Output Adapter: ./documentation/source/DetectionOutputAdapter.md
- Features:
- Training Modes: ./documentation/source/device.md
- Logging: ./documentation/source/logs.md
- Experiment Monitoring: ./documentation/source/experiment_monitoring.md
- Exponential Moving Average (EMA): ./documentation/source/EMA.md
- Automatic Mixed Precision (AMP): ./documentation/source/average_mixed_precision.md
- Knowledge Distillation (KD): ./documentation/source/KD.md
- Quantization (PTQ & QAT): ./documentation/source/ptq_qat.md
- Troubleshooting: ./documentation/source/troubleshooting.md
- Contribution: ./documentation/source/CONTRIBUTING.md
- Code: this_is_automatically_generated.md