probabilistic-models

There are 6 repositories under probabilistic-models topic.

TuringLang / Turing.jl
Bayesian inference with probabilistic programming.
machine-learning probabilistic-programming julia-language artificial-intelligence bayesian-inference hamiltonian-monte-carlo turing bayesian-statistics mcmc hmc probabilistic-graphical-models probabilistic-models probabilistic-inference bayesian-neural-networks hacktoberfest
Language:Julia 2181
pbdl-book
tum-pbs / pbdl-book
Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition
deep-learning numerical-simulations pde-solvers artificial-intelligence fluids probabilistic-models bayesian-inference machine-learning spatio-temporal-prediction
Language:Jupyter Notebook 1199
ImperialCollegeLondon / covid19model
Code for modelling estimated deaths and cases for COVID19.
covid-19 bayesian-statistics renewal-process branching-process intervention-study probabilistic-models statistical-models statistical-inference statistical-computing
Language:Stan 944
lixus7 / Time-Series-Works-Conferences
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
accident-detection anomaly-detection deep-learning demand-forecasting location multivariate-timeseries paper-list probabilistic-models spatio-temporal spatio-temporal-data spatio-temporal-modeling spatio-temporal-prediction time-series time-series-forecasting time-series-imputation time-series-prediction traffic-prediction travel-time-prediction
919
rust0258 / Deeplearning.ai-Natural-Language-Processing-Specialization
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
machine-learning deep-learning nlp coursera deeplearning-ai specialization neural neural-networks logistic-regression naive-bayes probabilistic-models sequence-models attention-mechanism encoder-decoder
Language:Jupyter Notebook 746
Nixtla / hierarchicalforecast
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
econometrics forecasting forecasting-models statistics time-series coherent hierarchical hierarchical-forecast bottomup erm mint topdown reconciliation middleout permbu python time-series-forecasting timeseries probabilistic-models baselines
Language:Python 712
machinelearnjs / machinelearnjs
Machine Learning library for the web and Node.
machine-learning easy-to-use minimalistic web node statistical-learning random-forest svm feature-extraction data-preprocessing probabilistic-models structured-data
Language:TypeScript 542
ivanvovk / WaveGrad
Implementation of WaveGrad high-fidelity vocoder from Google Brain in PyTorch.
diffusion-models ljspeech probabilistic-models speech speech-synthesis text-to-speech tts tts-engines vocoder wavegrad
Language:Jupyter Notebook 404
X-LANCE / VoiceFlow-TTS
[ICASSP 2024] This is the official code for "VoiceFlow: Efficient Text-to-Speech with Rectified Flow Matching"
conditional-flow-matching generative-models probabilistic-models rectified-flow-matching speech-synthesis text-to-speech tts
Language:Python 361
dotnet / mbmlbook
Sample code for the Model-Based Machine Learning book.
machine-learning probabilistic-graphical-models probabilistic-models probabilistic-programming
Language:C# 293
wiseodd / probabilistic-models
Collection of probabilistic models and inference algorithms
probabilistic-models python machine-learning bayesian bayesian-inference mcmc gibbs-sampling variational-inference dirichlet-process
Language:Python 241
quanvuong / handful-of-trials-pytorch
Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
model-based-rl model-based-reinforcement-learning ensemble-learning reinforcement-learning probabilistic-models
Language:Python 194
Eaphan / GLENet
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation [IJCV2023]
3d-object-detection probabilistic-models uncertainty-estimation generative-model machine-learning
Language:Python 192
$fractalrabbit$ NationalSecurityAgency / fractalrabbit
Simulate realistic trajectory data seen through sporadic reporting
simulation-modeling probabilistic-models algorithm-analysis
Language:Java 162
vkopli / gtsam_vio
Visual Inertial Odometry (VIO) / Simultaneous Localization & Mapping (SLAM) using iSAM2 framework from the GTSAM library.
gtsam isam2 robotics probabilistic-models slam state-estimation visual-inertial-odometry
Language:C++ 152
nathanaelbosch / ProbNumDiffEq.jl
Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing
julia differential-equations probabilistic-models ode ode-solver probabilistic-numerics
Language:Julia 130
probabilisticai / probai-2019
Materials of the Nordic Probabilistic AI School 2019.
bayesian deep-generative-models probabilistic-ai probabilistic-machine-learning probabilistic-models probabilistic-programming summer-school
Language:Jupyter Notebook 129
eeghor / mta
Multi-Touch Attribution
marketing markov-model shapley probabilistic-models
Language:Python 117
forestdb / forestdb.org
A repository for generative models
probabilistic-programming probabilistic-models webppl
Language:JavaScript 117
dkanungo / Probabilistic-ML-for-finance-and-investing
Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python
finance investing probabilistic-programming trading uncertainty-quantification markov-chain-monte-carlo npv-analysis project-management aleatoric-uncertainty epistemic-uncertainty epistemology ontological-information ensemble-machine-learning generative-ai probabilistic-models capm maximum-likelihood-estimation portfolio-theory hamiltonian-monte-carlo monte-carlo-simulation
Language:Jupyter Notebook 115
kmario23 / KenLM-training
Training an n-gram based Language Model using KenLM toolkit for Deep Speech 2
natural-language-processing language-modeling automatic-speech-recognition deep-neural-networks kenlm-toolkit kenlm language-model probabilistic-models deep-speech speech-recognition python
114
probabilisticai / probai-2021
Materials of the Nordic Probabilistic AI School 2021.
bayesian deep-generative-models probabilistic-ai probabilistic-machine-learning probabilistic-models probabilistic-programming summer-school
Language:Jupyter Notebook 93
TommasoBelluzzo / PyDTMC
A library for discrete-time Markov chains analysis.
markov markov-chain stochastic-process fitting plotting simulation mathematical-analysis mathematical-models probability probabilistic-models statistical-analysis statistical-models
Language:Python 93
neurocard / neurocard
State-of-the-art neural cardinality estimators for join queries
ml-for-systems learned-database cardinality-estimation query-optimization deep-generative-model self-supervised-learning transformers data-sampling probabilistic-models
Language:Python 80
probnmn-clevr
kdexd / probnmn-clevr
Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]
clevr icml icml-2019 neural-module-networks probabilistic-models vqa
Language:Python 67
L0SG / NanoFlow
PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)
normalizing-flows deep-generative-model density-estimation speech-synthesis pytorch probabilistic-models generative-models
Language:Python 66
deeprob-kit
deeprob-org / deeprob-kit
A Python Library for Deep Probabilistic Modeling
normalizing-flows sum-product-networks probabilistic-models probabilistic-circuits
Language:Python 61
bertini36 / GMM
Variational Inference in Gaussian Mixture Model
machine-learning probabilistic-programming probabilistic-models tensorflow edward gradient-descent coordinate-descent gaussian-mixture-models
Language:Python 60
kesslerlib / kessler
A machine learning library for spacecraft collision avoidance
machine-learning deep-learning spacecraft-collision-avoidance space-debris satellite-conjunction-analysis probabilistic-programming probabilistic-models conjunction-data-messages
Language:Python 58
StochasticTree / stochtree
Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
decision-trees machine-learning tree-ensembles bart bayesian-methods probabilistic-models bayesian-machine-learning gradient-boosted-trees
Language:C++ 54
weijie-chen / Probability_Theory
A quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.
probability-theory probability-distribution probability probabilistic-models mathematics statistics econometrics
Language:Jupyter Notebook 51
JamesYang007 / autoppl
C++ template library for probabilistic programming
sampling-posterior sampling-algorithms ppl probabilistic-programming bayesian cpp17 automatic-differentiation bayesian-inference bayesian-statistics probabilistic-models template-metaprogramming
Language:C++ 50
arranger1044 / probabilistic-circuits
A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
ai ml pc probabilistic-models tractable-inference
Language:CSS 49
blei-lab / treeffuser
Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion models.
diffusion-models diffusions flexible-prediction gradient-boosting heteroscedasticity lightgbm prediction probabilistic-models probabilistic-prediction tabular-data trees
Language:Jupyter Notebook 49
FahdSeddik / DeepLearning.AI-Natural-Language-Processing-Specialization
This is all my notebooks, lab solutions, and assignments for the DeepLearning.AI Natural Language Processing Specialization on Coursera.
attention-model coursera coursera-specialization deeplearning-ai natural-language-processing nlp probabilistic-models sequence-models vector-space-models
Language:Jupyter Notebook 48
PGM-Lab / probai-2021-pyro
Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
ai machine-learning probabilistic-models probabilistic-programming variational-inference
Language:Jupyter Notebook 48

probabilistic-models

TuringLang / Turing.jl

tum-pbs / pbdl-book

ImperialCollegeLondon / covid19model

lixus7 / Time-Series-Works-Conferences

rust0258 / Deeplearning.ai-Natural-Language-Processing-Specialization

Nixtla / hierarchicalforecast

machinelearnjs / machinelearnjs

ivanvovk / WaveGrad

X-LANCE / VoiceFlow-TTS

dotnet / mbmlbook

wiseodd / probabilistic-models

quanvuong / handful-of-trials-pytorch

Eaphan / GLENet

NationalSecurityAgency / fractalrabbit

vkopli / gtsam_vio

nathanaelbosch / ProbNumDiffEq.jl

probabilisticai / probai-2019

eeghor / mta

forestdb / forestdb.org

dkanungo / Probabilistic-ML-for-finance-and-investing

kmario23 / KenLM-training

probabilisticai / probai-2021

TommasoBelluzzo / PyDTMC

neurocard / neurocard

kdexd / probnmn-clevr

L0SG / NanoFlow

deeprob-org / deeprob-kit

bertini36 / GMM

kesslerlib / kessler

StochasticTree / stochtree

weijie-chen / Probability_Theory

JamesYang007 / autoppl

arranger1044 / probabilistic-circuits

blei-lab / treeffuser

FahdSeddik / DeepLearning.AI-Natural-Language-Processing-Specialization

PGM-Lab / probai-2021-pyro

$fractalrabbit$ NationalSecurityAgency / fractalrabbit