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Projects in Awesome Lists tagged with probabilistic-machine-learning
A curated list of projects in awesome lists tagged with probabilistic-machine-learning .
https://github.com/shivammehta25/Matcha-TTS
[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
deep-learning diffusion-model diffusion-models flow-matching machine-learning non-autoregressive probabilistic probabilistic-machine-learning text-to-speech tts tts-api tts-engines
Last synced: 14 Nov 2024
https://github.com/ModelOriented/survex
Explainable Machine Learning in Survival Analysis
biostatistics brier-scores censored-data cox-model cox-regression explainable-ai explainable-machine-learning explainable-ml explanatory-model-analysis interpretable-machine-learning interpretable-ml machine-learning probabilistic-machine-learning r r-package shap survival-analysis time-to-event variable-importance xai
Last synced: 13 Nov 2024
https://github.com/tallamjr/tubingen-probabilistic-ml
Material for Philipp Hennig's course: Probabilistic Machine Learning, at Tubingen
probabilistic-machine-learning probabilistic-programming
Last synced: 30 Oct 2024
https://github.com/crherlihy/prob_fair_rmab
Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting (KDD 2023)
constrained-optimization fairness-ai fairness-bandits healthcare-ml indexability mabs probabilistic-machine-learning resource-allocation-algorithm restless-bandits rmab
Last synced: 14 Dec 2024
https://github.com/cbg-ethz/jnotype
Probabilistic modeling of high-dimensional binary data in JAX
bayesian-statistics cancer-genomics clustering ideal-point-estimation jax probabilistic-machine-learning unsupervised-learning
Last synced: 17 Nov 2024
https://github.com/acerbilab/amortized-conditioning-engine
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., 2024)
bayesian-optimization meta-learning neural-processes probabilistic-machine-learning simulation-based-inference
Last synced: 22 Nov 2024