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

TensorFlow documentation

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