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probabilistic-predictionHere are 7 public repositories matching this topic...Language: All
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Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion models.
tabular-data prediction lightgbm trees probabilistic-models gradient-boosting heteroscedasticity diffusion-models diffusions probabilistic-prediction flexible-prediction
A Python library for probabilistic prediction on stochastic dynamical systems.
uncertainty-quantification gymnasium probabilistic-prediction distributionally-robust-optimization stochastic-dynamical-systems
Probability prediction of S&P 500 quarterly returns falling within predefined return ranges using hierarchical Bayesian approach
Predict rarely measured soil properties (total N, CEC7) by learning the bounded parameters of known soil relations; spatial benchmark with QRF, TabM and TabICLv2 on public WoSIS data.
python pytorch uncertainty-quantification digital-soil-mapping pedometrics soil-science parameter-learning quantile-regression-forests crps hybrid-modelling probabilistic-prediction knowledge-guided-machine-learning spatial-cross-validation tabular-foundation-models tabicl pedotransfer-functions wosis cation-exchange-capacity soil-nitrogen
An algorithmic trading platform combining reinforcement learning, probabilistic time-series forecasting, and paper trading with real-time market data.
finance reinforcement-learning web-platform ai-agents auto-ml stock-forecasting nyse-stocks probabilistic-prediction
Train a probabilistic color model from pixel data to distinguish among red, green, and blue pixels.
Bit-identical NGBoost prediction, 3.5-3.7x faster one-row by checking the input once per call, plus a fit-time warning when every tree is constant (the only case where folding speeds it up)
python machine-learning scikit-learn floating-point decision-trees uncertainty-quantification gradient-boosting inference-optimization distributional-regression ngboost constant-folding probabilistic-prediction
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