query-selector
neuralforecast
query-selector | neuralforecast | |
---|---|---|
1 | 84 | |
75 | 2,506 | |
- | 7.7% | |
3.7 | 9.0 | |
6 months ago | 2 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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.
query-selector
neuralforecast
- [D] Doubts on the implementation of LSTMs for timeseries prediction (like including weather forecasts)
- neuralforecast: NEW Data - star count:1877.0
- neuralforecast: NEW Data - star count:1773.0
- neuralforecast: NEW Data - star count:1749.0
- neuralforecast: NEW Data - star count:1696.0
- neuralforecast: NEW Data - star count:1663.0
What are some alternatives?
neural_prophet - NeuralProphet: A simple forecasting package
darts - A python library for user-friendly forecasting and anomaly detection on time series.
LaTeX-OCR - pix2tex: Using a ViT to convert images of equations into LaTeX code.
pytorch-forecasting - Time series forecasting with PyTorch
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
sktime - A unified framework for machine learning with time series
nixtla - TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
CrabNet - Predict materials properties using only the composition information!
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
how-do-vits-work - (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"