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probabilistic-machine-learning

Here are 37 public repositories matching this topic...

Matcha-TTS

shivammehta25 / Matcha-TTS

[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching

machine-learning text-to-speech deep-learning tts probabilistic tts-engines tts-api diffusion-model diffusion-models non-autoregressive probabilistic-machine-learning flow-matching

Updated Aug 11, 2025
Jupyter Notebook

naver-ai / pcme

Official Pytorch implementation of "Probabilistic Cross-Modal Embedding" (CVPR 2021)

cross-modal-retrieval probabilistic-machine-learning cvpr2021 probabilistic-embeddings

Updated Mar 1, 2024
Python

probabilisticai / probai-2019

Materials of the Nordic Probabilistic AI School 2019.

probabilistic-programming bayesian probabilistic-models summer-school deep-generative-models probabilistic-machine-learning probabilistic-ai

Updated May 14, 2020
Jupyter Notebook

april-tools / cirkit

a python framework to build, learn and reason about probabilistic circuits and tensor networks

probabilistic-modeling tractable-models probabilistic-inference probabilistic-circuits probabilistic-machine-learning probabilistic-reasoning tensor-network-decompositions tractable-inference tensor-net

Updated Aug 28, 2025
Python

survex

ModelOriented / survex

Explainable Machine Learning in Survival Analysis

Updated Jun 15, 2024
R

probabilisticai / probai-2021

Materials of the Nordic Probabilistic AI School 2021.

probabilistic-programming bayesian probabilistic-models summer-school deep-generative-models probabilistic-machine-learning probabilistic-ai

Updated Jul 12, 2021
Jupyter Notebook

MI2DataLab / survshap

SurvSHAP(t): Time-dependent explanations of machine learning survival models

Updated Jan 4, 2024
Jupyter Notebook

NeuroBayes

ziatdinovmax / NeuroBayes

Fully and Partially Bayesian Neural Nets

flax bayesian-neural-networks jax numpyro probabilistic-machine-learning

Updated Apr 30, 2025
Python

chritoth / active-bayesian-causal-inference

Active Bayesian Causal Inference (Neurips'22)

bayesian-methods gaussian-processes causal-inference active-learning experimental-design causal-discovery probabilistic-machine-learning causal-reasoning

Updated Jul 29, 2024
Python

naver-ai / pcmepp

Official Pytorch implementation of "Improved Probabilistic Image-Text Representations" (ICLR 2024)

cross-modal-retrieval probabilistic-machine-learning probabilistic-embeddings iclr2024

Updated May 26, 2024
Python

JiaxiangYi96 / mfpml

Multi-fidelity probability machine learning

probabilistic-machine-learning

Updated Jan 21, 2025
Jupyter Notebook

PGM-Lab / 2023-ProbAI

Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023

probabilistic-programming variational-inference probabilistic-machine-learning probabilistic-ai

Updated Jun 13, 2023
Jupyter Notebook

Mathepia / awesome-sciml

Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included.

data-science machine-learning deep-learning time-series julia scientific-computing probabilistic-programming bayesian-inference mathematical-biology bayesian-deep-learning neural-ode scientific-machine-learning probabilistic-machine-learning pinns universal-differential-equations mathematical-epidemiology physics-informed-neural-networks

Updated Dec 3, 2022
JavaScript

zerohd4869 / SPC

The official repository for AAAI 2024 Oral paper "Structured Probabilistic Coding".

representation-learning natural-language-understanding information-bottleneck pretrained-language-models probabilistic-machine-learning information-theoretic-methods

Updated Sep 7, 2024
Python

sinzlab / energy-guided-diffusion

🥚 EnerGy Guided Diffusion for optimizing neurally exciting images

optimization neuroscience guidance optimization-algorithms diffusion diffusion-models probabilistic-machine-learning insilico-stimuli

Updated Dec 20, 2023
Jupyter Notebook

tomsch420 / random-events

Clean Random Events for Probabilistic Reasoning in Python

variables random-events probability-theory probabilistic-machine-learning product-spaces product-space reasoning-under-uncertainty sigma-algebra product-sigma-algebra

Updated Jun 23, 2025
Python

sinzlab / cGNF

This is the official code for calibration in multi-hypothesis human pose estimation

machine-learning human-pose-estimation lifting pose-estimation 3d-pose-estimation graph-neural-networks probabilistic-machine-learning miscalibration probabilistic-pose-estimation mulit-hypothesis multi-hypothesis-pose-estimation

Updated May 30, 2023
Jupyter Notebook

Ellie190 / BCNN-for-Ocular-Disease-Classification

A Bayesian Convolutional Neural Network model for classifying Cataract in Ocular Disease with measurements of uncertainty

opencv machine-learning tensorflow keras bayesian-methods classification image-classification convolutional-neural-networks uncertainty-quantification tensorflow-probability uncertainty-visualisation probabilistic-machine-learning bayesian-probabilistic-models

Updated Jun 15, 2022
Jupyter Notebook

lipovec-t / vi-gaussian-dpm

Coordinate Ascent Variational Inference for Dirichlet Process Mixtures of Gaussians

clustering gaussian-mixture-models bayesian-inference variational-inference dirichlet-process-mixtures exponential-family bayesian-nonparametrics statistical-signal-processing probabilistic-machine-learning

Updated Jan 11, 2024
Python

tallamjr / tubingen-probabilistic-ml

Material for Philipp Hennig's course: Probabilistic Machine Learning, at Tubingen

probabilistic-programming probabilistic-machine-learning

Updated Jul 9, 2021
Jupyter Notebook

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