shivammehta25/Matcha-TTS

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

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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)

Language: Python - Size: 19.1 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 173 - Forks: 10

probabilisticai/probai-2019

Materials of the Nordic Probabilistic AI School 2019.

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naver-ai/pcme

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

Language: Python - Size: 2.11 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 119 - Forks: 17

ModelOriented/survex

Explainable Machine Learning in Survival Analysis

Language: R - Size: 309 MB - Last synced at: 10 days ago - Pushed at: 10 months ago - Stars: 111 - Forks: 10

april-tools/cirkit

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

Language: Python - Size: 31.1 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 93 - Forks: 9

probabilisticai/probai-2021

Materials of the Nordic Probabilistic AI School 2021.

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MI2DataLab/survshap

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

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chritoth/active-bayesian-causal-inference

Active Bayesian Causal Inference (Neurips'22)

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naver-ai/pcmepp

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

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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.

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JiaxiangYi96/mfpml

Multi-fidelity probability machine learning

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acerbilab/amortized-conditioning-engine

Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)

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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.

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PGM-Lab/2023-ProbAI

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

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zerohd4869/SPC

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

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soran-ghaderi/torchebm

⚡ Energy-Based Modeling library for PyTorch, offering tools for sampling, inference, and learning in complex distributions.

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sinzlab/cGNF

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

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tomsch420/random-events

Clean Random Events for Probabilistic Reasoning in Python

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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

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tallamjr/tubingen-probabilistic-ml

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

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april-tools/april-tools.github.io

headquarters of the April team in Edinburgh

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tomsch420/fglib2

Clean Factor Graphs in Python

Language: Python - Size: 143 KB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 1

Ellie190/BCNN-for-Ocular-Disease-Classification

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

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Ellie190/Heart-Disease-Project-AML

A Machine Learning Web Application to help health practitioners solve the problem of heart disease diagnosis using probabilistic machine learning methods.

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cbg-ethz/Jnotype

Probabilistic modeling of high-dimensional binary data in JAX

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Song921012/MathEpiDeepLearningTutorial

Tutorials on math epidemiology and epidemiology informed deep learning methods

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crherlihy/prob_fair_rmab

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

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karthik-d/bayesian-inference-ml-with-PyStan

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

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zcemycl/mlreading-hub

List of casual implementations of machine learning models from scratch.

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Sheev13/bayesian-inference

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aciobanusebi/nf-mixture

Language: Jupyter Notebook - Size: 4.87 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

brdav/tavr

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

Language: Python - Size: 599 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

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.

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lipovec-t/vi-gaussian-dpm

Coordinate Ascent Variational Inference for Dirichlet Process Mixtures of Gaussians

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sinzlab/energy-guided-diffusion

🥚 EnerGy Guided Diffusion for optimizing neurally exciting images

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MILO-GRP/PLASSO-L12

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

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Sheev13/vae

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

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Zoe0123/Probabilistic-Learning-and-Reasoning

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aciobanusebi/mle-inpainting

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giobbu/explainable-probabilistic-forecasting

Size: 1.15 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

debashis-das/DeepLearning

Machine Learning Code as per my understanding

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jmetrikat/pml-ss24

Exercises in the subject "Probabilistic Machine Learning" at Hasso Plattner Institute.

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FabriDeCastelli/ISPR-23-24

Intelligent Systems for Pattern Recognition 2023/2024 course repository

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aciobanusebi/training-algs-for-mnf

Language: Python - Size: 56.6 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

enstit/UNITS-ProbabilisticMachineLearning Fork of emaballarin/probml-units

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

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aciobanusebi/vanilla-probabilistic-ae

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tancredeguillou/AirPollutionPrediction

Predicting air pollution amounts in cities using a Gaussian Process model

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gigug/PML

Final Project from the course "Probabilistic Machine Learning" @ Data Science & Scientific Computing, University of Trieste, year 2020/2021, written in ipynb.

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Agewerc/machine-learning

Exploration of major kinds of statistical learning models and algorithms used in data analysis. Clustering, Neural Networks, Probabilistic ML are a few of the topics.

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