Tutorials
=========
All of our Jupyter Notebook tutorials are directly accessible via `Binder `__.
At Aidge, we're all about providing state-of-the-art, proven and reusable tools.
This Binder integration means you get a ready-to-use environment right in your browser, making our code immediately reproducible for everyone, everywhere.
To get started with Aidge, follow the Aidge demonstration tutorial.
This tutorial covers the basic features of the Aidge framework, including importing an ONNX model, transforming a neural network graph, running inference, and exporting to C++.
.. nbgallery::
101_first_step.nblink
aidge_ir.nblink
NN_Graphs_from_scratch.nblink
🛠 Aidge functionalities
------------------------
.. nbgallery::
database.nblink
graph_matching.nblink
scheduling.nblink
learning.nblink
ONNX.nblink
backend_cuda.nblink
snn_learning.nblink
save_load.nblink
🔍 Analysis tutorials
----------------------
.. nbgallery::
model_explorer.nblink
static_analysis.nblink
benchmark.nblink
gui.nblink
🚀 Deployment tutorials
-----------------------
.. nbgallery::
benchmark_on_target.nblink
tinyml_benchmark.nblink
accelerated_npu_deployment_stm32n6_alif_ake7.nblink
heterogeneous_deployment_alif_ake7.nblink
⚙️ Optimization tutorials
-------------------------
.. nbgallery::
ptq.nblink
tiling.nblink
tiling_1DCNN.nblink
🗜️ Aidge Compression
-----------------------
.. nbgallery::
compression.nblink
🚀 Export tutorials
--------------------
.. nbgallery::
export_cpp_add_impl.nblink
export_trt.nblink
export_acetone_yolov8.nblink
xnnpack_riscv.nblink
🔬📊 DNN uncertainty estimation
--------------------------------
.. nbgallery::
CIFAR-10_vs_GTSRB_DNN_uncertainty_estimation_using_Monte_Carlo_Dropout.nblink
Dropout_op_statistical_validation.nblink
Inference_with_a_real_CIFAR-10_input_image.nblink
🤝 Trustworthy AI
------------------
.. nbgallery::
robust_training.nblink
robustness_evaluation.nblink
👨💻 Developer tutorials
-----------------------------
.. nbgallery::
add_new_operator.nblink
If you encounter any difficulties with the tutorials, please create an issue `here `_.
For more information on contributing to Aidge, please refer to the `wiki `_.