Integration between gin-config and ray tune
-
Updated
Jan 20, 2021 - Python
#
gin-config
Here are 4 public repositories matching this topic...
Simple MNIST classification Project Using Gin-Config
-
Updated
Nov 10, 2022 - Python
📜 Tonic is a lightweight configuration framework for Python, combining notable aspects of Gin and Sacred.
config
python
settings
decorators
configuration
namespace
python3
configuration-management
sacred
configurable
configurator
defaults
experiment-manager
global-settings
gin-config
-
Updated
Feb 4, 2021 - Python
Model performance and tuning analysis conducted on the CIFAR10 and CIFAR100 datasets. Convolutional Neural Network (CNN), Gated Multilayer Perceptron (gMLP), and Vision Transformer (ViT) model architectures are utilized. The study is built using PyTorch, PyTorch Lightning for clean and concise code and Optuna for hyperparameter tuning.
yaml
deep-learning
logging
cnn
pytorch
configuration-management
image-classification
tensorboard
vit
hyperparameter-tuning
cifar10
cifar100
optuna
experiment-tracking
ablation-studies
pytorch-lightning
gin-config
gmlp
dataclasses-python
-
Updated
Jun 29, 2024 - Python
Improve this page
Add a description, image, and links to the gin-config topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the gin-config topic, visit your repo's landing page and select "manage topics."