pycox
snntorch
| pycox | snntorch | |
|---|---|---|
| 1 | 2 | |
| 756 | 1,099 | |
| - | - | |
| 0.0 | 9.2 | |
| 9 months ago | 16 days ago | |
| Python | Python | |
| BSD 2-clause "Simplified" License | MIT License |
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pycox
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[D] Time-varying covariates in survival analysis
take a look at https://github.com/havakv/pycox
snntorch
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Bio inspired computer vision
Spiking Neural Networks (SNNs): neural networks that use spiking neurons (i.e. neurons that communicate using asynchronous binary spikes similarly to biological neurons) instead of artificial neurons. Apart from this particularity, SNNs can be organized in any kind of topology we all know, like CNNs, ViT, etc. There are tons of approaches to train SNNs, like bio-inspired learning rules (STDP, three factor rules, etc) or adaptations of backprop (which remains the SOTA in a lot of vision tasks). A good resource to begin with backprop-trained SNNs: https://snntorch.readthedocs.io/en/latest/ .
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How to train brain-inspired spiking neural networks using lessons from deep learning. Interactive Colab notebook links in thread.
Github: https://github.com/jeshraghian/snntorch
What are some alternatives?
pytorch-forecasting - Time series forecasting with PyTorch
spikingjelly - SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
pytorch-tutorial - PyTorch Tutorial for Deep Learning Researchers
norse - Deep learning with spiking neural networks (SNNs) in PyTorch.
scikit-survival - Survival analysis built on top of scikit-learn
bindsnet - Simulation of spiking neural networks (SNNs) using PyTorch.
TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD
bittensor - Internet-scale Neural Networks
GeneticAlgorithmPython - Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Kilosort - Fast spike sorting with drift correction for up to a thousand channels