Notebooks for compiling a GTSRB MobileNet classifier for the Hailo edge AI accelerator
-
Updated
Aug 4, 2026 - Jupyter Notebook
#
model-compilation
Here are 4 public repositories matching this topic...
The purpose of this project is to develop a machine learning model that predicts employee attrition (whether an employee will leave the company) and department assignment (which department an employee belongs to) based on various factors. These factors include age, travel frequency, education level, job satisfaction, marital status, and more.
python deep-learning feature-selection neural-networks predictive-modeling data-normalization data-preparation model-evaluation adam-optimizer sequential-models train-test-split sigmoid-activation epochs relu-activation model-compilation
-
Updated
Jun 25, 2024 - Jupyter Notebook
A lightweight Recurrent Neural Network (RNN) implementation using TensorFlow/Keras Functional API for Text Sentiment Analysis, featuring custom sequence inspection and zero-masking
deep-learning tokenizer recurrent-neural-networks rnn sequence rnn-layers feedback-networks model-summary embedding-layer-keras model-compilation hidden-weights data-feeding
-
Updated
Sep 16, 2026 - Jupyter Notebook
Reproducible YOLO11 → ONNX → Hailo-8L HEF compiler pipeline: training, FP32 export, deterministic INT8 calibration, Hailo DFC compilation, accuracy gates, latency validation, and full run provenance for Raspberry Pi 5.
object-detection reproducibility quantization onnx mlops hailo podman edge-ai onnxruntime post-training-quantization ultralytics raspberry-pi-5 model-compilation yolo11 hailo-8l
-
Updated
Oct 11, 2026 - Python
Add this topic to your repo
To associate your repository with the model-compilation topic, visit your repo's landing page and select "manage topics."