Lylist's starred repositories
syops-counter
SyOPs counter for spiking neural networks
pytorch_scatter
PyTorch Extension Library of Optimized Scatter Operations
how-to-optim-algorithm-in-cuda
how to optimize some algorithm in cuda.
pytorch_sparse
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
torchsparse
[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
Awesome-state-space-models
Collection of papers on state-space models
robustness
Corruption and Perturbation Robustness (ICLR 2019)
Visualizer
assistant tools for attention visualization in deep learning
Brain-Cog
Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. The long term goal of BrainCog is to provide a comprehensive theory and system to decode the mechanisms and principles of human intelligence and its evolution, and develop artificial brains for brain-inspired conscious living AI in future Human-AI symbiotic Society.
Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP
What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.
stdp-nmnist
Repository for the master thesis titled "Local Unsupervised Learning of Multimodal Event-Based Data with Spiking Neural Networks", by Julian Lopez Gordillo (MSc in Artificial Intelligence, 2019-2021).
awesome-neuro-ai-papers
Papers from the intersection of deep learning and neuroscience
ColossalAI
Making large AI models cheaper, faster and more accessible
asr-pytorch
An ASR model trained on LJSpeech dataset, written in PyTorch
assemblies
Code for NEMO, and Assembly Calculus