wtte-rnn
WTTE-RNN a framework for churn and time to event prediction (by ragulpr)
providence
By rtx-corp-open-source
| wtte-rnn | providence | |
|---|---|---|
| 3 | 1 | |
| 759 | 4 | |
| - | - | |
| 0.0 | 5.6 | |
| over 3 years ago | 6 months ago | |
| Python | Jupyter Notebook | |
| MIT License | GNU General Public License v3.0 or later |
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.
wtte-rnn
Posts with mentions or reviews of wtte-rnn.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-24.
- Pointers to reduce false negatives while not sacrificing accuracy in deep learning
-
[R] apd-crs: Cure Rate Survival Analysis in Python
The typical reason you would go with a weibull function is if you want to be able to relax proportional hazard like in this work: https://github.com/ragulpr/wtte-rnn
-
Predicting Hard Drive Failure with Machine Learning
You should check out this time-to-event neural network [1].
[1] https://github.com/ragulpr/wtte-rnn
providence
Posts with mentions or reviews of providence.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-24.
What are some alternatives?
When comparing wtte-rnn and providence you can also consider the following projects:
easyesn - Python library for Reservoir Computing using Echo State Networks
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
GLOM-TensorFlow - An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data
neptune-client - 📘 The MLOps stack component for experiment tracking
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.