mrymaltin

DiabetesRiskPrediction

ML-and-DL-for-Diabetes-Datasets

BG-BERT

coding-interview-university

A complete computer science study plan to become a software engineer.

moment

MOMENT: A Family of Open Time-series Foundation Models

TimeVQVAE

[official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model", AISTATS 2023]

Attention-based-Time-Series-Generation

A transformer guided GAN to generate synthetic time-series data.

gluformer

The official implementation of the paper "Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification."

tts-gan

TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network

TimeGAN

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

synthetic-time-series-gan

synthetic-data-generator

We will create a machine learning pipeline to generate time series and other types of datasets using GAN(Generative Adversarial Networks) and LSTM models from custom sample data.

tsgm

Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets)

TEMPO

The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of the very first open source Time Series Foundation Models for forecasting task v1.0 version.

ecai-bglp-challenge

ECAI Blood Glucose Prediction Challenge

SST

The official implementation of the paper: "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting"

TSFpaper

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

AiM

Official PyTorch Implementation of "Scalable Autoregressive Image Generation with Mamba"

STraTS

iTransformer

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

tft-sgd

Gradient-based Temporal Fusion Transformer

COVID-19-age-groups

Interpreting age groups impact on COVID-19 using deep learning timeseries models

Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

BGLP_BG_forcasting

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

coldstartbglp

Time-Series-Library

A Library for Advanced Deep Time Series Models.

multi-output-glucose-forecasting

The code used for the paper Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories published in KDD 2018

nbeatsx

garnn_public