dnn.cool
A framework for multi-task learning, where you may precondition tasks and compose them into bigger tasks. Conditional objectives and per-task evaluations and interpretations. (by hristo-vrigazov)
neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms. (by Nixtla)
| dnn.cool | neuralforecast | |
|---|---|---|
| 1 | 84 | |
| 49 | 3,366 | |
| - | 3.1% | |
| 4.2 | 8.8 | |
| over 3 years ago | 12 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
dnn.cool
Posts with mentions or reviews of dnn.cool.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Multitask Regression
Self-promotion, but I made a framework exactly for this use case :) https://github.com/hristo-vrigazov/dnn.cool
neuralforecast
Posts with mentions or reviews of neuralforecast.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-10.
- [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?
When comparing dnn.cool and neuralforecast you can also consider the following projects:
Super-SloMo - PyTorch implementation of Super SloMo by Jiang et al.
darts - A python library for user-friendly forecasting and anomaly detection on time series.
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.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
pytorch-forecasting - Time series forecasting with PyTorch