A curated list of projects based on applications of Machine learning and Actuarial Science.

Analise dos retornos da companhia aerea LATAM na bolsa chilena usando series temporais . Esse trabalho é o projeto final da disciplina ME607-Series Temporais na UNICAMP

Resources about time series forecasting and deep learning.

A Python library for the fast symbolic approximation of time series

Probabilistic time series modeling in Python

MOMENT: A Family of Open Time-series Foundation Models

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

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.

TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting

Explore CSST 104 Advanced Machine Learning repo! Python on Google Colab for tasks. Real-life examples show concepts like linear regression, predictive analysis.

This is the official implementation of our research paper "Non-residential electricity day ahead load forecasting using a Transformer based adversarial domain adaptation forecaster"

Unified Training of Universal Time Series Forecasting Transformers

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

Time-series prediction using a multi-modal 1D Convolutional Neural Network

Material for the course "Time series analysis with Python"

An official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)

TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods (PVLDB 2024) https://arxiv.org/pdf/2403.20150.pdf

Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"

[ICLR 2024] Official Implementation of "Diffusion-TS: Interpretable Diffusion for General Time Series Generation"

Boosted Hybrids of ensemble gradient algorithm for the long-term time series forecasting (LTSF)