Instructions to use FIVE-MGI/Single_Neuron_Identification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use FIVE-MGI/Single_Neuron_Identification with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("FIVE-MGI/Single_Neuron_Identification") - Notebooks
- Google Colab
- Kaggle
| license: agpl-3.0 | |
| language: | |
| - en | |
| datasets: | |
| - FIVE-MGI/SNIM20 | |
| # Single Neuron (or Cell) Identification | |
| This model is designed for image classification and identifying rafts or regions that have single neurons and are trained on [FIVE-MGI/SNIM20]. | |
| ## Research Paper | |
| For more detailed information, please refer to our bioRxiv paper: [Classification of iPSC-Derived Cultures Using Convolutional Neural Networks to Identify Single Differentiated Neurons for Isolation or Measurement](https://www.biorxiv.org/content/10.1101/2023.12.24.573194) |