Top 4 Python Neuroimaging Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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dipy
DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
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Neuromorphic-Computing-Guide
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
Project mention: [D] [P] Need help in my Thesis project "A comparison study of EEG analysis by Deep Learning vs Expert board cerrtified Neurologist analysis for 100 patient data | /r/deeplearning | 2023-05-03Till now i have found only 1 open source model (aka BRAINCODE) that can be used (I will try to make a setup and analyse its feasability , it looks like it can be used as far as i can understnad from its Github reprository (https://github.com/braindecode/braindecode/)
Index
What are some of the best open-source Neuroimaging projects in Python? This list will help you:
Project | Stars | |
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1 | NIPY | 731 |
2 | braindecode | 698 |
3 | dipy | 669 |
4 | Neuromorphic-Computing-Guide | 244 |
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