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time2vec

time_series_anomaly_detection

Master's degree thesis

time_series_augmentation

An example of time series augmentation methods with Keras

timeeval

Evaluation Tool for Anomaly Detection Algorithms on Time Series

timeeval-algorithms

Time series anomaly detection algorithm implementations for TimeEval (Docker-based)

timegan

Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

timegan-pytorch

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

timemae

timeseries

Timeseries for everyone

timeseries-aiengineering

This is a repo for all the time series related notebook for AIENgineering

timeseries-cv

Time-Series Cross-Validation Module

timeseries_ll

Time Series Modeling: ML and Deep Learning Approaches with Python

timeseries_notebooks_collections

Jupyter Notebooks Collection for Learning Time Series Models

timeseriesanalysis

Robust decomposition, anomaly and change point detection methods for use on automobile traffic data.

timeseriesanalysiswithpython

timeseriesforecastinginpython

tinkoff-boosters-2nd-place-

Решение первой задачи соревнования Tinkoff Data Science Challenge. Выложу только лучшую GBM модель из ансамбля, дает CV .7780, паблик примерно такой же. Остальные модели используют те же фичи и просто немного улучшают ансамбль

tinkoff-invest-volume-analysis-robot

Tinkoff Invest Robot Contest

torch-cam

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

torch-pruning

Structural Pruning for Model Acceleration

torchease

Implementation of Embarrassingly Shallow Autoencoders (Harald Steck) in PyTorch

transdim

Machine learning for transportation data imputation and prediction.

transfer-learning-fault-diagnosis-pytorch

A transfer learning fault diagnosis repository covering popular algorithms

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model

transformer_time_series

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)

transformers-tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

transformers_for_time_series_forecasting

Inferencing 'PatchTST' and 'Informer' to harness the power of transformers for multivariate 'long sequence time-series forecasting' (LSTF).

ts2vec_irregular_ts

tsad

Package for Time Series Forecasting and Anomaly Detection Problems.