auton-survival
xgboost-survival-embeddings
| auton-survival | xgboost-survival-embeddings | |
|---|---|---|
| 1 | 3 | |
| 296 | 305 | |
| 2.0% | 2.3% | |
| 4.4 | 0.0 | |
| about 1 month ago | 9 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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auton-survival
xgboost-survival-embeddings
- Churn/Retention prediction without machine learning
- Show HN: Better XGBoost Survival Analysis via embeddings and debiased estimators
-
Forecasting multiple time series ideas
Here’s a great package for survival analysis in python
What are some alternatives?
keras - Deep Learning for humans [Moved to: https://github.com/keras-team/keras]
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
pycox - Survival analysis with PyTorch
scikit-survival - Survival analysis built on top of scikit-learn
causalnex - A Python library that helps data scientists to infer causation rather than observing correlation.
Face Recognition - The world's simplest facial recognition api for Python and the command line
pgmpy - Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
skope-rules - machine learning with logical rules in Python
autoprognosis - A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.