A curated list of projects based on applications of Machine learning and Actuarial Science.
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Updated
Jun 3, 2024 - Jupyter Notebook
A curated list of projects based on applications of Machine learning and Actuarial Science.
Resources about time series forecasting and deep learning.
EzStacking: From data to Kubernetes thru Scikit-Learn, FastAPI and Docker in a few clicks and command lines!
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
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.
Probabilistic time series modeling in Python
To develop an advance forecasting model that adeptly incorporates solar irradiance data, leveraging its predictive capabilities to elevate forecasting performance and reliability.
[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
A fast, effective and accurate algorithm for univariate time series forecasting
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
A Python library for the fast symbolic approximation of time series
MOMENT: A Family of Open Time-series Foundation Models
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
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