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AdEx IF single neuron model solved using neural ODEs
Papers from the intersection of deep learning and neuroscience
A curated list of awesome neuroscience libraries, software and any content related to the domain.
A list of schools and researchers in computational neuroscience
Exercises and examples for the latent dynamics workshop
This repository serves as a container for material around the Brian simulator, such as presentations and tutorials.
Brian is a free, open source simulator for spiking neural networks.
Time-Series Anomaly Detection Comprehensive Benchmark
Public datasets for time series anomaly detection
An implementation of Performer, a linear attention-based transformer, in Pytorch
Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.
Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction (NeurIPS 2023) https://arxiv.org/abs/2310.15416
A comprehensive survey on the time series domains
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
synthetic data generation of time-series data
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
Deep learning with spiking neural networks (SNNs) in PyTorch.
Cosyne workshop tutorial 2022
NIPS2018 paper
Codes for: "Multivariate Time Series Imputation with Transformers"
NMA Computational Neuroscience course
TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network