dl-4-tsc
Time series classifier frameworks
This project provides a framework for evaluating and comparing different deep learning architectures for time series classification tasks.
Deep Learning for Time Series Classification
2k stars
48 watching
571 forks
Language: Python
last commit: over 1 year ago convolutional-neural-networksdeep-learningdeep-neural-networksempirical-researchresearch-paperreviewtime-series-classification
Related projects:
Repository | Description | Stars |
---|---|---|
cauchyturing/ucr_time_series_classification_deep_learning_baseline | Developing and evaluating deep learning models for time series classification with a focus on interpretability and deployability. | 677 |
robromijnders/lstm_tsc | An implementation of a Long Short-term memory model for time series classification using Python and TensorFlow. | 408 |
aistream-peelout/flow-forecast | An open-source deep learning framework for time series forecasting and analysis | 2,060 |
tgjeon/tensorflow-tutorials-for-time-series | A comprehensive guide to time series prediction using TensorFlow | 1,110 |
jordipons/icassp2017 | Designs efficient architectures for modeling temporal features with deep learning networks | 16 |
predict-idlab/tsflex | A toolkit for flexible time series processing and feature extraction. | 402 |
johannfaouzi/pyts | A Python package for time series classification and analysis | 1,772 |
mohaseeb/shaplets-python | A Python implementation of a shapelet-based time-series classification algorithm using gradient descent. | 218 |
jpeg729/pytorch_bits | An experimental framework for developing and testing deep learning models on time-series prediction tasks | 79 |
damitkwr/esrnn-gpu | A PyTorch implementation of an optimized deep learning model for time series forecasting on GPUs. | 318 |
nixtla/mlforecast | A Python library for scalable machine learning-based time series forecasting with efficient feature engineering and out-of-the-box compatibility. | 899 |
hzy46/tensorflow-time-series-examples | A collection of examples demonstrating how to work with time series data using TensorFlow's Time Series API | 473 |
rjt1990/pydata2016-sanfrancisco | An analysis of time series methods using PyFlux library and incorporating NFL prediction model. | 23 |
dmbee/seglearn | A machine learning tool for time series data analysis and modeling | 571 |
sintel-dev/draco | A collection of end-to-end solutions for machine learning tasks commonly found in time series monitoring systems | 53 |