An interactive framework to visualize and analyze your AutoML process in real-time.
visualization real-time analysis interactive hyperparameters automl sampling-bias iml hyperparameter-importance
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Nov 5, 2025 - Python
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hyperparameter-importance
Here are 6 public repositories matching this topic...
A Rust implementation of fANOVA (functional analysis of variance)
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Jul 1, 2022 - Rust
Hyperparameter tuning analysis based on HpTuning project results.
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Feb 6, 2024 - PostScript
This repository is the code basis for the paper intitled "Exploring the Intricacies of Neural Network Optimization"
deep-neural-networks hyperparameter-optimization hyperparameter-tuning hyperparameter-search hyperparameter-importance
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Dec 12, 2023 - Python
A PyTorch project exploring CNN model efficiency, featuring from-scratch implementations of MobileNetV1 and MobileNetV2. Demonstrates model compression by using Knowledge Distillation to train a lightweight MobileNetV2 (student) from a ResNet-18 (teacher).
machine-learning university-project efficiency cnn pytorch course-project transfer-learning knowledge-distillation comparative-analysis mobilenet mobilenetv2 mobilenetv1 hyperparameter-importance
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Oct 27, 2025 - Python
I have trained two different CNN models for binary image classification to see which architecture has better accuracy, takes less time in training, how hyperparamters affect training and how many epochs do each of them need. I achieved 96% accuracy on the best model.
machine-learning computer-vision deep-learning tensorflow keras cnn image-classification convolutional-neural-networks hyperparameters-optimization hyperparameter-search catvsdog-classifier hyperparameter-importance
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Nov 10, 2022 - Jupyter Notebook
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