BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
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Feb 7, 2025 - Python
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sampling-methods
Here are 76 public repositories matching this topic...
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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Jan 27, 2025 - 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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Feb 6, 2025 - 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 28, 2024 - 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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Jan 29, 2025 - Python
A collection of various LLM sampling methods implemented in pure Pytorch
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Dec 9, 2024 - Python
Some methods to sampling data points from a given distribution.
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Jul 16, 2018 - 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
PyTorch implementation of the Marginalizable Density Model Approximator
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Oct 11, 2021 - Python
The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural Networks (DNNs), Neural ODEs, and Symplectic Neural Networks (SympNets) used with state-of-the-art sampling schemes like Hamiltonian Monte Carlo (HMC) and the No-U-Turn-Sampler (NUTS).
neural-networks bayesian-inference hamiltonian-monte-carlo sampling-methods langevin-dynamics no-u-turn-sampler physics-informed-neural-networks
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Jan 14, 2023 - Python
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