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forecasting-time-series

Here are 10 public repositories matching this topic...

DC-research / 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.

time-series transformers transformer forecasting gpt pretrained-models forecasting-models time-series-analysis pretrained-language-model forecasting-time-series transformers-models foundation-models

Updated Nov 19, 2024
Python

cruiseresearchgroup / forecasting-on-new-roads

Official repo for the following paper: Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training (SCPT) (ECML PKDD DAMI '23)

timeseries time-series neural-network traffic cnn pytorch forecasting forecasting-models gcn traffic-prediction traffic-flow pytorch-cnn traffic-flow-prediction cnn-pytorch traffic-flow-forecasting forecasting-time-series traffic-forecasting simclr contrastive-learning

Updated Jul 3, 2024
Python

raphischer / xpcr

Automatically select DNNs for time series forecasting under consideration of complexity and resource consumption.

machine-learning sustainability forecasting forecasting-models forecasting-time-series trustworthy-ai

Updated Oct 2, 2024
Python

Rohit2350 / Reliance_StockPrice_Prediction-Analysis-

python machine-learning eda forecasting-time-series streamlit-dashboard

Updated Nov 14, 2023
Python

himarygr / sales-forecasting-and-budget-optimization

💲 🔮 Predict 3 months of item-level sales data at different store locations and optimize budgets and placements to maximize key product metrics

sales ml forecasting budget arima forecasting-models arima-model arima-forecasting forecasting-time-series

Updated Aug 10, 2023
Python

alframoss / LSTM-algo-bot

An LSTM price prediction model for a Brent crude algorithmic trading bot.

deep-learning rnn algorithmic-trading lstm-neural-networks forecasting-time-series

Updated Sep 1, 2024
Python

realdanielbyrne / N-BEATS-Lightning

An Implementation of N-BEATS using Pytorch Lightning

pytorch forecasting pytorch-lightning forecasting-time-series

Updated Nov 17, 2023
Python

canberkkacan / PV-Panel-Power-Generation-Forecast-with-Random-Forest

Random Forest algorithm to forecast the hourly power generation of PV plant over time, using time series data and multiple features.

random-forest-regression forecasting-time-series photovolatic-power hourlyforecast

Updated Dec 8, 2023
Python

giobbu / Collaborative-Data-Imputation

Data imputation with collaborative filtering and latent factor models for wind farms time series data

time-series missing-data wind-energy collaborative-learning latent-factor-model missing-data-imputation forecasting-time-series

Updated Nov 19, 2024
Python

rahulkfernandes / Stock-Price-Forecasting

K-step stock price forecasting using historical closing price data

machine-learning stock-price-prediction fbprophet forecasting-time-series

Updated Dec 20, 2022
Python

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