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probabilistic-models

Here are 98 public repositories matching this topic...

Nixtla / hierarchicalforecast

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

Updated Apr 10, 2025
Python

X-LANCE / VoiceFlow-TTS

[ICASSP 2024] This is the official code for "VoiceFlow: Efficient Text-to-Speech with Rectified Flow Matching"

text-to-speech tts speech-synthesis probabilistic-models generative-models conditional-flow-matching rectified-flow-matching

Updated Sep 3, 2024
Python

wiseodd / probabilistic-models

Collection of probabilistic models and inference algorithms

python machine-learning bayesian bayesian-inference mcmc variational-inference gibbs-sampling dirichlet-process probabilistic-models

Updated Apr 3, 2020
Python

Eaphan / GLENet

GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation [IJCV2023]

machine-learning generative-model uncertainty-estimation probabilistic-models 3d-object-detection

Updated Jun 4, 2024
Python

quanvuong / handful-of-trials-pytorch

Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

reinforcement-learning ensemble-learning probabilistic-models model-based-rl model-based-reinforcement-learning

Updated Dec 8, 2022
Python

eeghor / mta

Multi-Touch Attribution

markov-model marketing probabilistic-models shapley

Updated Feb 26, 2022
Python

TommasoBelluzzo / PyDTMC

A library for discrete-time Markov chains analysis.

simulation probability markov-chain markov statistical-analysis fitting mathematical-analysis plotting stochastic-process statistical-models probabilistic-models mathematical-models

Updated Jan 1, 2025
Python

neurocard / neurocard

State-of-the-art neural cardinality estimators for join queries

transformers learned-database query-optimization cardinality-estimation probabilistic-models data-sampling self-supervised-learning deep-generative-model ml-for-systems

Updated Oct 6, 2020
Python

probnmn-clevr

kdexd / probnmn-clevr

Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]

vqa probabilistic-models icml clevr neural-module-networks icml-2019

Updated Aug 3, 2023
Python

L0SG / NanoFlow

PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)

pytorch speech-synthesis density-estimation probabilistic-models normalizing-flows generative-models deep-generative-model

Updated Dec 28, 2020
Python

deeprob-kit

deeprob-org / deeprob-kit

A Python Library for Deep Probabilistic Modeling

probabilistic-models normalizing-flows sum-product-networks probabilistic-circuits

Updated Oct 25, 2024
Python

bertini36 / GMM

Variational Inference in Gaussian Mixture Model

machine-learning tensorflow gaussian-mixture-models probabilistic-programming gradient-descent edward probabilistic-models coordinate-descent

Updated Oct 29, 2020
Python

kesslerlib / kessler

A machine learning library for spacecraft collision avoidance

machine-learning deep-learning probabilistic-programming probabilistic-models space-debris spacecraft-collision-avoidance satellite-conjunction-analysis conjunction-data-messages

Updated Apr 7, 2025
Python

pyrovelocity

pinellolab / pyrovelocity

𝒫robabilistic modeling of RNA velocity ⬱

probabilistic-programming transcriptomics pyro probabilistic-models single-cell-genomics single-cell-rna-seq rna-velocity-estimation multiomics deep-generative-model developmental-trajectories rna-velocity rna-splicing single-cell-multiomics cell-fate-determination rna-splicing-analysis

Updated Apr 11, 2025
Python

kourouklides / artificial_neural_networks

A collection of Methods and Models for various architectures of Artificial Neural Networks

python data-science machine-learning deep-neural-networks deep-learning tensorflow machine-learning-algorithms keras neural-networks artificial-neural-networks machinelearning bayesian-inference variational-inference edward probabilistic-models bayesian-neural-networks probabilistic-modeling bayesian-learning edward2

Updated Jul 30, 2024
Python

april-tools / squared-npcs

Squared Non-monotonic Probabilistic Circuits

probabilistic-models probabilistic-circuits probabilistic-reasoning tractable-inference

Updated Jan 16, 2025
Python

akashmondal1810 / UncertaintyEstimation

Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods

xgboost bayesian-inference uncertainty-estimation probabilistic-models bayesian-deep-learning monte-carlo-dropout predictive-uncertainty deep-ensemble

Updated Jun 1, 2021
Python

aspuru-guzik-group / dionysus

For analysis of calibration, performance, and generalizability of probabilistic models on small molecular datasets. Paper on RSC Digital Discovery: https://pubs.rsc.org/en/content/articlehtml/2023/dd/d2dd00146b

chemistry cheminformatics biology calibration probabilistic-models

Updated May 11, 2023
Python

yzyouzhang / SASV_PR

Official implementation of the Odyssey paper "A Probabilistic Fusion Framework for Spoofing Aware Speaker Verification"

fusion probabilistic-models anti-spoofing sasv

Updated Jun 24, 2022
Python

classifier-calibration / PyCalib

Python library for classifier calibration

python classifier machine-learning calibration probabilistic-models classifier-training optimal-decision-making

Updated May 3, 2024
Python

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