pytorch-model-details
neuralforecast
pytorch-model-details | neuralforecast | |
---|---|---|
1 | 84 | |
1 | 2,506 | |
- | 7.7% | |
0.0 | 9.0 | |
over 1 year ago | 2 days ago | |
Python | Python | |
MIT License | 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.
pytorch-model-details
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hey guys, I created a model summary package for pytorch. do use it and let me know, if it helps you in any way. you can install it using the command `pip install pytorchsummary`
Link to the GitHub repo. https://github.com/GSAUC3/pytorch-model-details
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?
pytorch-summary - Model summary in PyTorch similar to `model.summary()` in Keras
darts - A python library for user-friendly forecasting and anomaly detection on time series.
pytorch-forecasting - Time series forecasting with PyTorch
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
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 🚀.
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
mlforecast - Scalable machine 🤖 learning for time series forecasting.
tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Numba - NumPy aware dynamic Python compiler using LLVM
tsfeatures - Calculates various features from time series data. Python implementation of the R package tsfeatures.
TGLSTM - Pytorch implementation of LSTM for irregular time series