Code for Kernel Adaptive Metropolis-Hastings
☆33Jan 4, 2015Updated 11 years ago
Alternatives and similar repositories for kameleon-mcmc
Users that are interested in kameleon-mcmc are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆26Jun 7, 2018Updated 8 years ago
- Stochastic Gradient Hamiltonian Monte Carlo☆12Nov 16, 2019Updated 6 years ago
- ☆12May 12, 2025Updated last year
- Adaptive MCMC and CMA-ES Python code☆14Sep 19, 2019Updated 6 years ago
- Python package for inference with Gaussian processes☆11Mar 25, 2015Updated 11 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Chi is an open source Python package which is designed for PKPD modelling and model-informed precision dosing (MIPD).☆17May 23, 2026Updated 3 weeks ago
- SanPy is software for whole-cell current clamp analysis.☆14Aug 6, 2025Updated 10 months ago
- Repository for libCellML development.☆18Updated this week
- An LLM-powered tool to help sift through the arxiv☆19Jun 12, 2026Updated last week
- ☆15Jan 14, 2026Updated 5 months ago
- Supporting material for "Deep Stochastic Radar Models," submitted to IV 2017☆17May 1, 2019Updated 7 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Feb 15, 2020Updated 6 years ago
- ☆12Jul 16, 2023Updated 2 years ago
- Repository for the cardiac model ToR-ORd☆15May 22, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Python module for reading HEKA PatchMaster data files☆15Mar 8, 2017Updated 9 years ago
- Official Repo for "Why Settle for One? Text-to-ImageSet Generation and Evaluation"☆21Oct 1, 2025Updated 8 months ago
- A simple elasticsearch frontend for serving astrophysical simulation catalog data☆11Mar 14, 2026Updated 3 months ago
- A pytorch version of hamiltonian monte carlo☆15Jun 26, 2019Updated 6 years ago
- Practical tools for quantifying how well a sample approximates a target distribution☆28Aug 5, 2020Updated 5 years ago
- Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).☆22May 3, 2020Updated 6 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Jul 17, 2020Updated 5 years ago
- ☆11Oct 6, 2021Updated 4 years ago
- Look Ahead Hamiltonian Monte Carlo☆31Mar 29, 2015Updated 11 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Web pages for mingw project☆28Nov 9, 2021Updated 4 years ago
- From our paper "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene" in ACM Multimedia 2018.☆11Apr 9, 2019Updated 7 years ago
- Space Object RADar SIMulator☆12May 31, 2020Updated 6 years ago
- RascalC: A Fast Code for Galaxy Covariance Matrix Estimation☆13May 26, 2026Updated 3 weeks ago
- ☆12May 7, 2015Updated 11 years ago
- Numpy-compatible random number generator that supports multiple core psuedo RNGs and explicitly parallel generation.☆46Mar 2, 2019Updated 7 years ago
- Implementation of various algorithms in the Nested Sequential Monte Carlo family of methods.☆14Sep 9, 2015Updated 10 years ago
- Sparse Neural Network Tools☆12Jul 15, 2024Updated last year
- The uncompromising Jupyter notebook formatter.☆14Jan 26, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- SmallK: very fast data clustering tools☆13Apr 3, 2019Updated 7 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Apr 19, 2016Updated 10 years ago
- 1-step Q Learning from the paper "Asynchronous Methods for Deep Reinforcement Learning"☆12Mar 13, 2017Updated 9 years ago
- Code reading history☆10Oct 20, 2021Updated 4 years ago
- This is the extension library for ASDF to provide support for Astropy.☆19Jun 1, 2026Updated 2 weeks ago
- Python implementation of PCA on graph ECTD☆12May 29, 2024Updated 2 years ago
- A Metropolis-Hastings MCMC sampler accelerated via diffusion models☆17Jul 25, 2024Updated last year