Projects in Awesome Lists tagged with timeseries-forecasting

https://github.com/sktime/pytorch-forecasting

Time series forecasting with PyTorch

ai artifical-intelligense data-science deep-learning forecasting gpu machine-learning neural-networks pandas python pytorch pytorch-lightning temporal timeseries timeseries-forecasting uncertainty

Last synced: 17 Dec 2024

https://github.com/jdb78/pytorch-forecasting

Time series forecasting with PyTorch

ai artifical-intelligense data-science deep-learning forecasting gpu machine-learning neural-networks pandas python pytorch pytorch-lightning temporal timeseries timeseries-forecasting uncertainty

Last synced: 27 Nov 2024

https://github.com/microsoft/flaml

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

automated-machine-learning automl classification data-science deep-learning finetuning hyperparam hyperparameter-optimization jupyter-notebook machine-learning natural-language-generation natural-language-processing python random-forest regression scikit-learn tabular-data timeseries-forecasting tuning

Last synced: 16 Dec 2024

https://github.com/microsoft/FLAML

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

automated-machine-learning automl classification data-science deep-learning finetuning hyperparam hyperparameter-optimization jupyter-notebook machine-learning natural-language-generation natural-language-processing python random-forest regression scikit-learn tabular-data timeseries-forecasting tuning

Last synced: 27 Oct 2024

https://github.com/time-series-foundation-models/lag-llama

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

forecasting foundation-models lag-llama llama time-series time-series-forecasting time-series-prediction time-series-transformer timeseries timeseries-forecasting transformers

Last synced: 19 Dec 2024

https://github.com/business-science/modeltime

Modeltime unlocks time series forecast models and machine learning in one framework

arima data-science deep-learning ets forecasting machine-learning machine-learning-algorithms modeltime prophet r-package tbats tidymodeling tidymodels time time-series time-series-analysis timeseries timeseries-forecasting

Last synced: 21 Dec 2024

https://github.com/microprediction/timemachines

Predict time-series with one line of code.

prediction prediction-algorithm predictions predictive-modeling time-series time-series-analysis timeseries timeseries-analysis timeseries-data timeseries-forecasting

Last synced: 20 Dec 2024

https://github.com/reservoirpy/reservoirpy

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

artificial-intelligence echo-state-networks esn machine-learning machine-learning-algorithms neural-network python recurrent-neural-networks reservoir reservoir-computing timeseries timeseries-analysis timeseries-forecasting timeseries-prediction

Last synced: 12 Nov 2024

https://github.com/microprediction/microprediction

If you can measure it, consider it predicted

fbprophet filterpy hmmlearn kalman-filter keras nowcasting online-algorithms pmdarima time-series timeseries timeseries-analysis timeseries-clustering timeseries-data timeseries-database timeseries-forecasting timeseries-prediction tsfresh tslearn

Last synced: 20 Dec 2024

https://github.com/cuebook/CueObserve

Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases

anomaly anomaly-detection bigquery datawarehouse prophet-facebook redshift root-cause-analysis snowflake sql timeseries-analysis timeseries-forecasting

Last synced: 14 Nov 2024

https://github.com/cuebook/cueobserve

Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases

anomaly anomaly-detection bigquery datawarehouse prophet-facebook redshift root-cause-analysis snowflake sql timeseries-analysis timeseries-forecasting

Last synced: 19 Dec 2024

https://github.com/remigenet/tkan

TKAN: Temporal Kolmogorov-Arnold Networks

jax keras keras3 kolmogorov-arnold-networks temporal temporal-networks tensorflow tensorflow2 timeseries-forecasting tkan torch

Last synced: 15 Dec 2024

https://github.com/remigenet/TKAN

TKAN: Temporal Kolmogorov-Arnold Networks

jax keras keras3 kolmogorov-arnold-networks temporal temporal-networks tensorflow tensorflow2 timeseries-forecasting tkan torch

Last synced: 05 Dec 2024

https://github.com/cerlymarco/tspiral

A python package for time series forecasting with scikit-learn estimators.

autoregressive-forecasters autoregressive-modeling direct-forecasting exogenous-predictors forecasting multivariate-forecasting multivariate-timeseries python recursive-forecasting scikit-learn time-series timeseries timeseries-forecasting

Last synced: 16 Dec 2024

https://github.com/remigenet/tkat

Temporal Kolmogorov-Arnold Transformer

jax keras keras3 temporal-networks tensorflow timeseries timeseries-forecasting tkan tkat torch transformer

Last synced: 17 Dec 2024

https://github.com/remigenet/TKAT

Temporal Kolmogorov-Arnold Transformer

jax keras keras3 temporal-networks tensorflow timeseries timeseries-forecasting tkan tkat torch transformer

Last synced: 05 Dec 2024

https://github.com/weifantt/DEPTS

deep-learning timeseries-forecasting

Last synced: 30 Oct 2024

https://github.com/sarincr/time-series-analysis-using-python

Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data.

characteristics extract-meaningful-statistics pandas python series-analysis series-data time time-series timeseries timeseries-analysis timeseries-data timeseries-database timeseries-forecasting timeseriesclassification

Last synced: 20 Nov 2024

https://github.com/pawarbi/blog

PawarBI

machine-learning powerbi powerquery python timeseries-forecasting

Last synced: 27 Nov 2024

https://github.com/tslu1s/tsforecasting

TSForecasting: Automated Time Series Forecasting Framework

autogluon automated-forecasting automated-timeseries-forecasting automl automl-pipeline catboost data-science forecasting lightgbm machine-learning python scikit-learn timeseries timeseries-analysis timeseries-forecasting xgboost

Last synced: 09 Nov 2024

https://github.com/oracle-samples/automlx

This repository contains demo notebooks (sample code) for the AutoMLx (automated machine learning and explainability) package from Oracle Labs.

ai automated-machine-learning automl automlx classification data-science explainability fairness fairness-ai hyperparameter-optimization interpretability machine-learning machine-learning-explainability mlx oracle python regression timeseries-forecasting tuning unsupervised-anomaly-detection

Last synced: 11 Nov 2024

https://github.com/phreakyphoenix/predicting-bike-sharing-patterns

Udacity Deep Learning Nanodegree Project 1 on bike-sharing patterns. Do :star2: it and show some love

bike bike-sharing-patterns dlnd-your-first-neural nanodegree network neural-network numpy pandas sharing time-series timeseries-analysis timeseries-forecasting udacity udacity-course udacity-deeplearning-assignment udacity-nanodegree udacity-projects

Last synced: 11 Oct 2024

https://github.com/amrrs/anomaly_detection_tidy_way

Anomaly Detection in R - the tidy way using anomalize

anomaly-detection bitcoin cryptocurrency r timeseries-forecasting

Last synced: 15 Nov 2024

https://github.com/camara94/tensorflow-sequences-time-series-and-prediction

In this fourth course, you will learn how to build time series models in TensorFlow. You’ll first implement best practices to prepare time series data. You’ll also explore how RNNs and 1D ConvNets can be used for prediction. Finally, you’ll apply everything you’ve learned throughout the Specialization to build a sunspot prediction model using real-world data

deep-learning tensorflow tensorflow2 timeseries timeseries-analysis timeseries-forecasting

Last synced: 05 Nov 2024

https://github.com/microprediction/timemachines-testing

Testing optimizers and time-series algorithms, and assigning them Elo ratings.

global-optimization global-optimization-algorithms optimizer optuna pysot time-series time-series-analysis timeseries timeseries-forecasting

Last synced: 17 Dec 2024

https://github.com/martinuzzifrancesco/neuralbasisexpansions.jl

Julia (Flux) implementation of NBeats

deep-learning deep-neural-networks julia nbeats time-series timeseries timeseries-forecasting

Last synced: 20 Oct 2024

https://github.com/microprediction/microactors

Examples of scheduled jobs estimating copulas at www.microprediction.org

copula copula-entropy copula-models copulas timeseries timeseries-analysis timeseries-database timeseries-forecasting timeseries-prediction timeseries-sequence

Last synced: 30 Oct 2024

https://github.com/ai-forever/no_flood_with_ai_aij2020

Материалы соревнования AI Journey 2020, посвященного прогнозированию паводков на реке Амур, https://ai-journey.ru/contest/task02

hydrodynamics python3 timeseries-analysis timeseries-forecasting

Last synced: 16 Nov 2024

https://github.com/ivanproskuryakov/ta-predict

ohlc analysis and forecasting

binance-api keras tensorflow2 timeseries-forecasting

Last synced: 22 Nov 2024

https://github.com/soumyadipta2020/forecasting_tool

Forecasting tool for Time-Series and Non-time series data

ai-chatbot chatbot datascience datascience-machinelearning eda exploratory-data-analysis forecasting genai machine-learning modelling mongodb mongodb-in-r rshiny rshinyapp rshinydashboard statistical-analysis statistical-models timeseries-analysis timeseries-forecasting visualization

Last synced: 21 Nov 2024

https://github.com/microprediction/rediz

Supporting community nowcasts at www.microprediction.org

nowcast nowcasting prediction timeseries timeseries-analysis timeseries-forecasting

Last synced: 30 Oct 2024

https://github.com/microprediction/chess

Blitz and bullet chess ratings

chess elo-rating prediction timeseries timeseries-analysis timeseries-forecasting

Last synced: 17 Dec 2024

https://github.com/tayyabwaqar/financial-time-series-prediction-using-lstm

This app predicts stock prices using a Long Short-Term Memory (LSTM) neural network model.

lstm-neural-networks machine-learning python stock-price-prediction streamlit timeseries-forecasting

Last synced: 21 Dec 2024

https://github.com/lmangani/tenseries

Tensorflow JS LSTM predictions against Prometheus metrics

machine-learning predictions prometheus tensorflow tensorflow-js tfjs timeseries timeseries-forecasting

Last synced: 13 Dec 2024

https://github.com/zrkhadija/data-analysis-for-financial-time-series

In this notebook, we performed data analysis on financial time series data from Yahoo Finance for the US market. We examined seasonality, trends, stationarity, and other aspects such as outliers and correlations.

autocorrelation correlation-analysis data-analysis financial-analysis time-series-analysis timeseries-forecasting visualization

Last synced: 17 Dec 2024

https://github.com/zrkhadija/multivariate-sector-price-prediction-using-macroeconomic-indicators

This project focuses on Multivariate Sector Price Prediction using macroeconomic indicators. By leveraging a custom-built LSTM model in PyTorch, we predicted the prices of 10 financial sectors simultaneously. The model takes as input the historical price data of these sectors along with key macroeconomic indicators.

data-preprocessing deep-learning hyperparameter-tuning multivariate-timeseries optuna pytorch pytorch-implementation time-series-analysis timeseries-forecasting timeseriesforecasting

Last synced: 09 Dec 2024

https://github.com/ivanbongiorni/rnn_timeseries-forecast

An LSTM Neural Network for Time Series Forecasting, trained on Wikipedia's Web Traffic dataset from Kaggle.

dataset forecasting kaggle recurrent-neural-network rnn series-forecasting tensorflow tensorflow2 time-series timeseries-analysis timeseries-forecasting web-traffic wikipedia

Last synced: 11 Dec 2024

https://github.com/aravinda-1402/flight_delay_prediction_using_machine_learning

This research investigates flight delay trends, examining departure time, airline, and airport factors. Regression machine learning meth- ods are utilized to predict delay contributions from various sources. Time-series models, including LSTM, Hybrid LSTM, and Bi-LSTM, are compared with baseline regression models such as Multiple Regression, Decisi

bilstm delay lstm lstm-neural-networks prediction regression timeseries-forecasting

Last synced: 18 Nov 2024

https://github.com/chrismainey/bsicb_interview

This repo contains material for my interview for Birmingham and Solihull ICB.

data-science mapping nhs r text-mining timeseries-forecasting

Last synced: 13 Dec 2024

https://github.com/etienne-bobo/predict-bitcoin-price

predict price of bitcoin using time series

conv1d keras nbeats tensorflow timeseries-forecasting

Last synced: 11 Nov 2024

https://github.com/sumeetgedam/data_analysis

Repository to track Data Analysis done on various datasets available online

algorithms arima-forecasting data-visualization pandas plotly-express plotly-graph-objects prophet-facebook python r2-score random-forest seaborn sklearn timeseries-forecasting trends visualization

Last synced: 10 Oct 2024

https://github.com/farukalamai/weather-timeseries-data-in-bangladesh

Weather-Timeseries-Data-in-Bangladesh

bangladesh dataset timeseries-analysis timeseries-forecasting weather weather-forecast

Last synced: 07 Nov 2024

https://github.com/saritaphd/basic-understanding-of-forecasting---time-series

This repository provides detailed instructions on how to perform time series forecasting using various models and techniques.

python timeseries-analysis timeseries-forecasting

Last synced: 16 Nov 2024

https://github.com/pramodkondur/dominoes-timeseriesforecasting

This advanced forecasting tool leverages Long Short-Term Memory (LSTM) networks to predict daily sales for 91 types of pizzas and the required quantities of 64 ingredients. By analyzing historical pizza order data, the system provides accurate future demand forecasts, enabling optimized inventory management and purchase planning.

business-intelligence datascience deep-learning keras lstm-neural-networks machine-learning matplotlib pandas predictive-modeling python real-time-prediction real-world-project sckiit-learn seaborn streamlit tensorflow timeseries-forecasting

Last synced: 21 Nov 2024

https://github.com/pejpero/eur_to_pln_exchange_rate_prediction

This project uses an LSTM model to predict EUR to PLN exchange rates. The required dependencies include libraries for data manipulation, visualization, and neural network implementation, ensuring smooth execution of the time series forecasting process.

datascience datascience-machinelearning finance keras keras-tensorflow lstm neuralnetworks tensorflow timeseries-forecasting

Last synced: 21 Nov 2024

https://github.com/venkat-a/stocks-price-analysis-and-recommendation

Analyzing and predicting the stock prices,multiple machine learning models, including LSTM (Long Short-Term Memory), Prophet, and others

arima bollinger-bands keras lstm minmaxscaler prophet-facebook sarimax-model tensorflow timeseries-forecasting

Last synced: 21 Dec 2024

https://github.com/albertopirillo/anndl-challenges-2023

Collection of two projects applying Deep Neural Networks on real-world problems. The first one with CNNs for image recognition and the other with RNNs and 1D-CNNs for timeseries forecasting.

deep-neural-networks image-recognition timeseries-forecasting

Last synced: 08 Nov 2024

https://github.com/alecruces/sustainablelithium

Powering the Future in a Sustainable way: Analysis and Forecasting of Lithium exports for Australia and Chile using Time series Analysis and Business Market Models

knn-regression sustainable-energy timeseries-forecasting

Last synced: 06 Nov 2024

https://github.com/raghavendranhp/forecasting-car-sales-trends

Elevating Times Series Forecasting of Cars, Truck Sales in UK for precise and competitive forecasting in diverse industries.

arima-model arma autoregressive exponentialsmoothingmodel moving-average prophet-model sarima-model sarimax-model scikitlearn-machine-learning time-series-analysis timeseries-forecasting

Last synced: 10 Nov 2024

https://github.com/somenath203/predicting-future-retail-sales-of-clothing-stores-using-lstm

deep-learning deep-neural-networks forecasting keras long-short-term-memory lstm rnn tensorflow timeseries-forecasting

Last synced: 19 Nov 2024

https://github.com/mpolinowski/automl-gluon-tabular-data

AutoML with AutoGluon

autogluon automl classification nlp regression timeseries-forecasting

Last synced: 30 Nov 2024

https://github.com/hariprasath-v/av-job-a-thon-november-2022

Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.

exploratory-data-analysis kaggle lightgbm-regressor matplotlib numpy pandas python rmse-score seaborn sklearn statsmodels timeseries-forecasting

Last synced: 13 Nov 2024

https://github.com/hariprasath-v/av_job-a-thon-april-2022

Machine Learning model to forecast the demand of the car rentals on an hourly basis.

analyticsvidhya exploratory-data-analysis lightgbm machine-learning python timeseries-analysis timeseries-forecasting

Last synced: 13 Nov 2024

https://github.com/jzaragosa06/univariate_ts_forecast

Using Large Language Model (Gemini-Pro) to Provide Context-Specific Explanation to Time Series Forecast

flask timeseries-forecasting xgboost

Last synced: 14 Nov 2024

https://github.com/peppecappella/using_weather_data_to_boost_bike_share_demand_forecasting

mongodb prophet tableau-dashboards timeseries-forecasting weatherdata

Last synced: 15 Nov 2024

https://github.com/srking501/csc8637_coursework

A summative coursework for CSC8637 Deep Learning

cyclegan data-preprocessing data-science evaluation-metrics fine-grained-classification gan gans generative-adversarial-network image-classification lstm lstm-classification rnn rnn-lstm rnn-tensorflow time-series timeseries timeseries-forecasting

Last synced: 30 Nov 2024

https://github.com/ahmad-ali-rafique/electricity-consumption-analysis-household-dataset

This repository contains analysis and predictive modeling of household electricity consumption using Python. It includes data cleaning, exploratory data analysis (EDA), time series forecasting (ARIMA, SARIMA, LSTM), and model evaluation to optimize energy usage.

arima-forecasting artificial-intelligence artificial-neural-networks data data-science dataanalytics datacleaning evaluation-metrics exploratory-data-analysis long-short-term-memory lstmmodel modeling time-series timeseries-forecasting

Last synced: 15 Nov 2024

https://github.com/alanjamlu34/analisis-runtun-waktu-r

Analisis Runtun Waktu- Universitas Sanata Dharma

forecasting timeseries-forecasting

Last synced: 17 Nov 2024

https://github.com/aravinda-1402/store-demand-forecasting-using-time-series-and-neural-networks

The primary objective of this project is to develop a cutting-edge forecasting model utilizing advanced machine-learning algorithms and sophisticated time-series analysis techniques. The model aims to deliver precise predictions of future sales across diverse retail outlets.

arima deeplearning hybrid lstm-neural-networks machinelearning python scikitlearn-machine-learning timeseries-forecasting