Topic: "time-series-regression"
sktime/sktime
A unified framework for machine learning with time series
Language: Python - Size: 82.2 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 9,364 - Forks: 1,716
AIStream-Peelout/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Language: Python - Size: 8.13 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2,248 - Forks: 302
aeon-toolkit/aeon
A toolkit for time series machine learning and deep learning
Language: Python - Size: 112 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1,280 - Forks: 231
sktime/sktime-dl
DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
Language: Python - Size: 1.32 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 598 - Forks: 79
salesforce/DeepTime 📦
PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
Language: Python - Size: 1.25 MB - Last synced at: 6 months ago - Pushed at: 7 months ago - Stars: 360 - Forks: 64
dependable-cps/adversarial-MTSR
Language: Python - Size: 23 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 28 - Forks: 16
scikit-learn-contrib/fastcan
A fast canonical-correlation-based greedy search algorithm for feature selection, system identification, data pruning, etc.
Language: Python - Size: 1.95 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 15 - Forks: 5
time-series-machine-learning/tsml-py
A toolkit for time series machine learning algorithms.
Language: Python - Size: 858 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 9 - Forks: 2
inEXASCALE/llm-abba
Time series analysis with LLM-ABBA: A symbolic approach
Language: TypeScript - Size: 58.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 6 - Forks: 2
MSD-IRIMAS/DeepRehabPile
Deep Learning for Skeleton Based Human Motion Rehabilitation Assessment: A Benchmark
Language: Python - Size: 244 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 5 - Forks: 0
ahmedshahriar/Time-Series-Projects
Collection of my Time series Analysis Projects
Language: Jupyter Notebook - Size: 3.99 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 1
sudonym-i/GRU_trade_engine
GRU_trade_engine uses time series regression and sentiment analysis to predict future stock prices
Language: Makefile - Size: 13.9 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0
ilmarcopardo/NARX
NARX Pytorch implementation
Language: Python - Size: 2.06 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0
TomatoFT/Vehicle-Trajectory-Prediction-in-Ho-Chi-Minh-city-streets
Predict the trajectory of the vehicles in HCM city streets with YOLOv7 + DeepSORT + CNN-LSTM/CNN-GRU.
Language: Python - Size: 77.7 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0
oliveiract/Drugstore-Sales-Forecast
This repository contains files and scripts to build a sales forecasting Telegram Bot for a pharmacy chain. The purpose of this project is to quickly and easily provide a revenue estimate in order to assist the CEO in decision making. (Project Data Science in Production / DS Community)
Language: Jupyter Notebook - Size: 26.3 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
Dhall777/niner
Basic cryptocurrency price prediction using Axon, Elixir's primary deep learning utility.
Language: Elixir - Size: 273 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
be-favorite/Multiple_timeseries
Time Series Regression Models
Language: HTML - Size: 11.8 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
OliverLiljeblad/MarketSent
MarketSent is an AI-driven platform that analyzes financial sentiment from news headlines, social media posts, and market data. It uses Natural Language Processing (NLP) and machine learning to detect investor mood, predict market volatility, and visualize sentiment over time.
Language: Python - Size: 8.79 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0
romanmicuda/global-economy-indicators
The dataset is compiled from the National Accounts Main Aggregates Database that presents a series of analytical national accounts tables from 1970 onwards for more than 200 countries and areas of the world.
Language: Jupyter Notebook - Size: 310 KB - Last synced at: 5 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
eriknovak/TARNet
The experiment scripts of the TARNet model for classification of time series with missing balues
Language: Jupyter Notebook - Size: 2.06 MB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
martinnff/prais_winsten_estimator
Generalization of the Prais Winsten estimator for AR time series of arbitrary order
Language: R - Size: 26.4 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
chrismolli/windforecasting
Case study of a time-series regression task for 24h wind forecasting. Investigation of OLS, XGB and MLP applications.
Language: Jupyter Notebook - Size: 1.13 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
