Informer2020
DeepADoTS
Our great sponsors
| Informer2020 | DeepADoTS | |
|---|---|---|
| 2 | 1 | |
| 4,863 | 538 | |
| - | 0.0% | |
| 0.6 | 0.0 | |
| about 1 month ago | almost 2 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Informer2020
DeepADoTS
We haven't tracked posts mentioning DeepADoTS yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
pytorch-forecasting - Time series forecasting with PyTorch
neural_prophet - NeuralProphet: A simple forecasting package
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
luminaire - Luminaire is a python package that provides ML driven solutions for monitoring time series data.
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
SAITS - The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516