https://github.com/alstat/ml-sghmc
Experiment code for Stochastic Gradient Hamiltonian Monte Carlo
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (1.8%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Experiment code for Stochastic Gradient Hamiltonian Monte Carlo
Basic Info
- Host: GitHub
- Owner: alstat
- Language: C++
- Default Branch: master
- Size: 277 KB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Fork of tqchen/ML-SGHMC
Created over 9 years ago
· Last pushed almost 12 years ago
Metadata Files
Readme
README.md
ML-SGHMC
Experiment codes for Paper:
Tianqi Chen, Emily B. Fox, Carlos Guestrin "Stochastic Gradient Hamiltonian Monte Carlo" ICML 2014
Informations: * arxiv link: http://arxiv.org/abs/1402.4102 * matlab: contains scripts for simulated experiments * bayesnn: contains a numpy implementation of baysian neural network * mf: contains a c++ implementation of bayesian matrix factorization using SGHMC
Owner
- Name: Al Asaad
- Login: alstat
- Kind: user
- Location: Quezon City, Philippines
- Company: Johnson & Johnson
- Website: https://www.al-asaad.com/
- Repositories: 104
- Profile: https://github.com/alstat
Statistician · Data Scientist