Topic: "hyperparameter-importance"
automl/DeepCAVE
An interactive framework to visualize and analyze your AutoML process in real-time.
Language: Python - Size: 61.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 92 - Forks: 13
sile/fanova
A Rust implementation of fANOVA (functional analysis of variance)
Language: Rust - Size: 140 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 16 - Forks: 1
rgmantovani/DecisionTreeTuningAnalysis
Hyperparameter tuning analysis based on HpTuning project results.
Language: PostScript - Size: 47.8 MB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 2
msmrexe/pytorch-mobilenet-efficiency
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).
Language: Python - Size: 61.5 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
rgtzths/mlp_hpp_analysis
This repository is the code basis for the paper intitled "Exploring the Intricacies of Neural Network Optimization"
Language: Python - Size: 58.6 KB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
Moddy2024/Cat-or-Dog-Image-Classification
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.
Language: Jupyter Notebook - Size: 129 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0
Sheaantisocial810/pytorch-mobilenet-efficiency
🚀 Explore CNN efficiency with PyTorch implementations of MobileNetV1 and V2, featuring knowledge distillation for lightweight model training on CIFAR-10.
Language: Python - Size: 1.35 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0
