Open-source Survival Analysis library
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Updated
Jun 6, 2024 - Python
Open-source Survival Analysis library
Open-source framework for uncertainty and deep learning models in PyTorch 🌱
Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
Tool to analyze two-photon calcium imaging videos, extract neuronal activity, and identify neuronal ensembles (ONsembles and OFFsembles).
A repo for RLHF training and BoN over LLMs, with support for reward model ensembles.
Utilities for comparing paleoclimate reconstruction ensembles
ML-Ensemble – high performance ensemble learning
Repository for Reproducibility for the Paper: "Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML"
Repository for Reproducibility for the Paper: "CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure".
Text Sentiment Analysis using Ensembles
Model stacking for predictive ensembles
We provide two notebooks that enable users to explore and experiment with some BDL techniques as Ensembles, MC Dropout and Laplace Approximation. In this way, they allow you to intuitively visualize the main differences among them in a Simulated Dataset and Boston Dataset.
Connecting the Sustainable Development Goals with climate change and the energy transition
Simple but high-performing method for learning a policy of test-time augmentation
The PyTorch framework developed to enable my MSci thesis project titled: "Evaluating Uncertainty Estimation Methods For Deep Neural Network’s In Inverse Reinforcement Learning"
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020
Cross-Pollinated Deep Ensembles (NeurIPS Europe Meetup on Bayesian Deep Learning 2020)
Off-the-Shelf Ensemble Systems
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