Simulation of spiking neural networks (SNNs) using PyTorch.
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Updated
Jun 7, 2024 - Python
Simulation of spiking neural networks (SNNs) using PyTorch.
Pure python implementation of SNN
Command line admin tool for Synapse (the Matrix reference homeserver)
Shared Secret Authenticator password provider module for Matrix Synapse
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation
[WACV 2024] Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation
RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.
Synapse challenge utility functions
Focal-Unet https://givkashi.github.io/focal-unet/
This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it has original content in terms of code.
Official Implementation of SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation (CVPR2024)
A generalizable model of spike-timing dependent plasticity for the Neural Simulation Tool (NEST).
A Python wrapper for Matrix Synapse admin API
Send any JSON and form data through webhooks to Matrix end-to-end encrypted (E2EE) rooms with HTTP POST requests
[MICCAI 2023] Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection
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