snn_cv_applications_resources

Paper list for SNN based computer vision tasks.

snn_vis

Visualization of a growing spiking-neural network w/ unsupervised learning. (5000 neurons, 33187 synapes)

snntorch

Deep and online learning with spiking neural networks in Python

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

spikegpt

Implementation of "SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks"

spiking-neural-network

Pure python implementation of SNN

spiking-neural-networks-tutorials

Interactive Tutorials on Training Spiking Neural Network With Backprop

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

stpn

swin2sr

Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022

textual_inversion

texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

train-procgen

Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

vision-transformers-cifar10

Let's train vision transformers (ViT) for cifar 10!

vnca