Diagnosing-ADHD-With-ConvLSTM

Diagnosing-ADHD-With-ConvLSTM

deontaepharr

Classifying ADHD fMRI data with a CNN+LSTM Model

keras
View on GitHub
84 Stars
20 Forks
84 Watchers
Jupyter Notebook Language
100 SrcLog Score
Cost to Build
$500
Market Value
$816
How is this calculated?

Growth over time

3 data points  ·  2026-04-08 → 2026-04-23
Stars Forks Watchers
💬

How do you feel about this project?

Ask AI about Diagnosing-ADHD-With-ConvLSTM

Question copied to clipboard

What is the deontaepharr/Diagnosing-ADHD-With-ConvLSTM GitHub project? Description: "Classifying ADHD fMRI data with a CNN+LSTM Model". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone Diagnosing-ADHD-With-ConvLSTM

Clone via HTTPS

git clone https://github.com/deontaepharr/Diagnosing-ADHD-With-ConvLSTM.git

Clone via SSH

[email protected]:deontaepharr/Diagnosing-ADHD-With-ConvLSTM.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the Diagnosing-ADHD-With-ConvLSTM issue tracker:

Open GitHub Issues

Similar to Diagnosing-ADHD-With-ConvLSTM

data-science-ipython-notebooks Screenshot-to-code cheatsheets-ai Mask_RCNN keras-js deepo horovod keras-rl BigDL DeepLearningZeroToAll Keras-GAN Practical_RL faceai deepjazz deep-learning-keras-tensorflow MMdnn DeepPavlov CapsNet-Keras sketch-code keras-vis polyaxon nlp-architect deepschool.io deep-learning-model-convertor netron chess-alpha-zero Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials turkce-yapay-zeka-kaynaklari AutonomousDrivingCookbook DeepAA