Multi-language suite for analyzing calibration of probabilistic predictive models.
MIT License
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-f...
ICLR 2024 论文和开源项目合集
[NeurIPS 2024 Datasets and Benchmarks Track] Closed-Loop E2E-AD Benchmark Enhanced by World Model...
Calibration package for fair (>=2.1)
Multi-language suite for high-performance solvers of differential equations and scientific machin...
Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning meth...
Tools for diagnostics and assessment of (machine learning) models
A scikit-learn-compatible module for estimating prediction intervals.
Enabling easy statistical significance testing for deep neural networks.
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, met...
MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially...
🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.
Estimation and hypothesis tests of calibration in Python using CalibrationErrors.jl and Calibrati...