probabilistic-machine-learning

akashsengupta1997/HierarchicalProbabilistic3DHuman

Code repository for the paper: Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild (ICCV 2021)

probabilisticai/probai-2019

Materials of the Nordic Probabilistic AI School 2019.

naver-ai/pcme

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

ModelOriented/survex

Explainable Machine Learning in Survival Analysis

probabilisticai/probai-2021

Materials of the Nordic Probabilistic AI School 2021.

MI2DataLab/survshap

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

naver-ai/pcmepp

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

chritoth/active-bayesian-causal-inference

Active Bayesian Causal Inference (Neurips'22)

JuliaEpi/MathEpiDeepLearning

Awesome-spatial-temporal-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. Keep updating.

PGM-Lab/2023-ProbAI

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

sinzlab/cGNF

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

JiaxiangYi96/mfpml

Multi-fidelity probability machine learning

zerohd4869/SPC

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

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.

Ellie190/BCNN-for-Ocular-Disease-Classification

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

tomsch420/random-events

Clean Random Events for Probabilistic Reasoning in Python

MarcoSciorilli/Probabilistic_Machine_Learning

Repository of my notes and exercises on the course of Probabilistic Machine Learning by Prof. Luca Bortolussi at the University of Trieste in the year 2020/2021

aciobanusebi/nf-mixture

sinzlab/energy-guided-diffusion

🥚 EnerGy Guided Diffusion for optimizing neurally exciting images

tallamjr/tubingen-probabilistic-ml

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

tomsch420/fglib2

Clean Factor Graphs in Python

crherlihy/prob_fair_rmab

Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting (KDD 2023)

Sheev13/vae

PyTorch implementation of a variational autoencoder (VAE) for use on multi-channel 2D data such as images

Song921012/MathEpiDeepLearningTutorial

Tutorials on math epidemiology and epidemiology informed deep learning methods

karthik-d/probabilistic-ml-experiments-with-PyStan

Probabilistic modeling using PyStan with demonstrative case study experiments from Christopher Bishop's Model-based Machine Learning.

lipovec-t/vi-gaussian-dpm

Coordinate Ascent Variational Inference for Dirichlet Process Mixtures of Gaussians

MILO-GRP/PLASSO-L12

[AAAI 2019] "A Probabilistic Derivation of LASSO and L12-Norm Feature Selections", Di Ming, Chris Ding, Feiping Nie

Sheev13/bayesian-inference

sophiewharrie/meta-learning-hierarchical-model-similar-causal-mechanisms

Code for the research paper Meta-learning with hierarchical models based on similarity of causal mechanisms

zcemycl/mlreading-hub

List of casual implementations of machine learning models from scratch.

Zoe0123/Probabilistic-Learning-and-Reasoning

Probabilistic Learning and Reasoning Assignments

brdav/tavr

Predicting Mortality after Transcatheter Aortic Valve Replacement using Preprocedural CT [Scientific Reports 2024]

davindicode/universal-count-model

We present a probabilistic model for neural spike counts that can capture arbitrary single neuron and joint statistics with their modulation by external covariates.

enstit/UNITS-ProbabilisticMachineLearning

Repository for the Probabilistic Machine Learning labs/practica (@ UniTS, Spring 2023)

tancredeguillou/AirPollutionPrediction

Predicting air pollution amounts in cities using a Gaussian Process model