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Metatensor
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      • TensorMap
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    • C++ API reference
      • TensorMap
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    • C API reference
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      • First steps with metatensor
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      • Managing gradients
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    • Operations and PyTorch
    • API reference
      • Creation operations
        • empty_like()
        • ones_like()
        • zeros_like()
        • random_like()
        • block_from_array()
      • Linear algebra
        • dot()
        • lstsq()
        • solve()
      • Logic function
        • allclose()
        • equal()
        • equal_metadata()
        • is_contiguous()
      • Manipulation operations
        • detach()
        • drop_blocks()
        • filter_blocks()
        • join()
        • make_contiguous()
        • manipulate dimension
        • one_hot()
        • remove_gradients()
        • requires_grad()
        • samples reduction
        • slice()
        • split()
      • Mathematical functions
        • abs()
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        • divide()
        • multiply()
        • pow()
        • subtract()
      • Set operations
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        • sort()
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        • TensorMap
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  • Learning utilities
    • API reference
      • Data utilites
      • Neural Network
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      • Datasets and data loaders
      • Using IndexedDataset
    • Changelog
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    • Overview
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        • Exporting models
        • Information about models
      • Atomic Simulation Environment (ASE) integration
      • Serialization
      • C++ API reference
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    • Standard model outputs
      • Energy
      • Features
      • Non-conservative forces
      • Non-conservative stress
    • Simulation engines
      • ASE
      • Chemiscope
      • i-PI
      • LAMMPS
      • PLUMED
    • Tutorials
      • Exporting a model
      • Running Molecular Dynamics with ASE
      • Creating models that use neighbor lists
      • Profiling your models
  • Developer documentation
    • Getting started
    • Code organization
    • Version number management
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Tutorials¶

Datasets and data loaders

Datasets and data loaders

Using IndexedDataset

Using IndexedDataset

Download all examples in Python source code: learn_python.zip

Download all examples in Jupyter notebooks: learn_jupyter.zip

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