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149 symbols 362 edges 33 files 6 documented · 4%

What it actually does AI analysis from the code graph — generated when you open this

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Core symbols most depended-on inside this repo

approx_params

called by 11

ml_casadi/common/module.py

sym_approx_params

called by 10

ml_casadi/common/module.py

approx

called by 9

ml_casadi/common/module.py

aux_function

called by 6

ml_casadi/torch/autograd/functorch.py

batched_jacobian

called by 4

ml_casadi/torch/autograd/sum.py

aux_function_jac

called by 4

ml_casadi/torch/autograd/functorch.py

batched_hessian

called by 2

ml_casadi/torch/autograd/sum.py

is_casadi_type

called by 2

ml_casadi/common/helper.py

Shape

Method 91

Class 31

Function 25

Route 2

Languages

Python100%

Modules by API surface

examples/mpc_mlp_cnn_example.py16 symbols

ml_casadi/common/module.py15 symbols

examples/mpc_mlp_naive_example.py13 symbols

tests/tests_torch/test_casadi_export.py11 symbols

tests/tests_torch/test_module_wrapper_functorch.py10 symbols

tests/tests_torch/test_module_wrapper.py10 symbols

ml_casadi/torch/modules/nn/activation.py8 symbols

tests/tests_torch/test_autograd_functorch.py7 symbols

tests/tests_torch/test_autograd.py7 symbols

ml_casadi/torch/autograd/sum.py7 symbols

examples/cnn_example.py7 symbols

tests/tests_torch/test_matrix_ops.py6 symbols

For agents

$ claude mcp add ml-casadi \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact