autoprognosis
xgboost-survival-embeddings
| autoprognosis | xgboost-survival-embeddings | |
|---|---|---|
| 2 | 3 | |
| 89 | 305 | |
| - | 2.3% | |
| 5.0 | 0.0 | |
| 7 months ago | 8 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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autoprognosis
- AutoPrognosis: Automating the model selection for clinical prognosis
-
[P] AutoPrognosis - A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
Code: https://github.com/vanderschaarlab/autoprognosis
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?
hyperimpute - A framework for prototyping and benchmarking imputation methods
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
scikit-survival - Survival analysis built on top of scikit-learn
auton-survival - Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
Face Recognition - The world's simplest facial recognition api for Python and the command line
skope-rules - machine learning with logical rules in Python
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
pycox - Survival analysis with PyTorch