techzzt

awesome-computational-neuroscience

A list of schools and researchers in computational neuroscience

pub-sourmpis2023-neurips

latent_dynamics_workshop

Exercises and examples for the latent dynamics workshop

Computational-Neuroscience

Code for the assignments for the Computational Neuroscience Course BT6270 in the Fall 2018 semester

brian-material

This repository serves as a container for material around the Brian simulator, such as presentations and tutorials.

brian2

Brian is a free, open source simulator for spiking neural networks.

ts-anomaly-benchmark

Time-Series Anomaly Detection Comprehensive Benchmark

PDTrans

TS-AD-Datasets

Public datasets for time series anomaly detection

performer-pytorch

An implementation of Performer, a linear attention-based transformer, in Pytorch

mTAN

Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.

neuralRDEs

Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)

latent_ode

Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

NPSR

Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction (NeurIPS 2023) https://arxiv.org/abs/2310.15416

Awesome-time-series

A comprehensive survey on the time series domains

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

llmtime

streamlit

Streamlit — A faster way to build and share data apps.

syntheticdatagen

synthetic data generation of time-series data

VAE-LSTM-for-anomaly-detection

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

TimeGAN

Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

docs

TensorFlow documentation

norse

Deep learning with spiking neural networks (SNNs) in PyTorch.

cosyne-tutorial-2022

Cosyne workshop tutorial 2022

Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks

NIPS2018 paper

NAB

The Numenta Anomaly Benchmark

MTSIT

Codes for: "Multivariate Time Series Imputation with Transformers"

course-content

NMA Computational Neuroscience course

AnoShift