BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
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Oct 30, 2024 - Python
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sampling-methods
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Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
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Dec 20, 2017 - Python
⚡️ zeus: Lightning Fast MCMC ⚡️
python
machine-learning
inference
sampling
bayesian-inference
general-purpose
mcmc
mcmc-sampler
sampling-methods
probabilistic-data-analysis
black-box-bayesian-inference
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Feb 18, 2024 - Python
Python toolbox for sampling Determinantal Point Processes
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Aug 14, 2024 - Python
MCMC sample analysis, kernel densities, plotting, and GUI
statistical-inference
mcmc
kernel-density-estimation
sampling-methods
contour-plot
plotting-in-python
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Oct 24, 2024 - Python
PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight
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Oct 13, 2023 - Python
Official implementation for the paper "CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design" accepted by L4DC 2024. CoVO-MPC is an optimal sampling-based MPC algorithm.
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May 22, 2024 - Python
Lightweight library of stochastic gradient MCMC algorithms written in JAX.
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Oct 23, 2023 - Python
pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
python
machine-learning
astronomy
inference
cosmology
astrophysics
sampling
bayesian-inference
smc
general-purpose
mcmc
mcmc-sampler
normalizing-flows
sampling-methods
probabilistic-data-analysis
black-box-bayesian-inference
cosmology-inference
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Oct 30, 2024 - Python
Official Code for "Non-Probability Sampling Network for Stochastic Human Trajectory Prediction (CVPR 2022)"
deep-learning
multi-agent
autonomous-vehicles
sampling-methods
sampling-bias
human-trajectory-prediction
motion-forecasting
cvpr2022
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Feb 27, 2024 - Python
GPU Performance Advisor
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Jul 25, 2022 - Python
Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
deep-learning
pytorch
neural-networks
stochastic-differential-equations
sampling-methods
stochastic-optimal-control
diffusion-models
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Aug 30, 2024 - Python
Bayesian Jenaer software
python
astrophysics
bayesian-inference
gravitational-waves
multi-messenger
sampling-methods
kilonovae
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Nov 23, 2023 - Python
A Python library for efficient feature ranking and selection on sparse data sets.
machine-learning
data-mining
statistics
algorithms
python-library
feature-selection
probabilistic-programming
counting
feature-engineering
cardinality-estimation
multithreaded
sampling-methods
online-learning-algorithms
data-monitoring
data-stream-mining
scalable-machine-learning
feature-ranking
numba-jit-compiler
online-feature-building
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Oct 25, 2024 - Python
Content-adaptive storage and processing of large volumetric microscopy data using the Adaptive Particle Representation (APR)
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Aug 21, 2024 - Python
Some methods to sampling data points from a given distribution.
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Jul 16, 2018 - Python
MongeNet sampler official implementation
deep-neural-networks
deep-learning
optimal-transport
sampling-methods
geometric-deep-learning
pythorch
samplers
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Jun 22, 2021 - Python
PyTorch implementation of the Marginalizable Density Model Approximator
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Oct 11, 2021 - Python
Stochastic Multiple Target Sampling Gradient Descent (NeurIPS 2022)
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Sep 19, 2022 - Python
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