Bayesian Statistics Guide
☆17Jan 9, 2022Updated 4 years ago
Alternatives and similar repositories for Bayesian-Statistics-Guide
Users that are interested in Bayesian-Statistics-Guide are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This directory contains all the codes required to reproduce the results in our SPAWC 2017 paper titled "A compressive channel estimation …☆11Jun 22, 2018Updated 8 years ago
- Jupyter Guide☆15Jan 12, 2022Updated 4 years ago
- 一个简单的神经网络,条理清晰,适合入门。☆14Jul 12, 2017Updated 9 years ago
- MATLAB Guide☆25Apr 3, 2022Updated 4 years ago
- matlab code for a simple MLP☆15Mar 3, 2016Updated 10 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.
- VSCode Guide☆43Feb 1, 2022Updated 4 years ago
- Differential Equations Guide☆14Jan 9, 2022Updated 4 years ago
- ☆10Sep 29, 2023Updated 2 years ago
- Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}☆41Mar 28, 2025Updated last year
- ☆11Sep 21, 2021Updated 4 years ago
- ☆10Apr 28, 2017Updated 9 years ago
- Computer Vision Guide☆38Jan 9, 2022Updated 4 years ago
- For the paper 'A novel isogeometric coupling approach for assembled thin-walled structures', here is the core code and implementation tha…☆14Aug 9, 2024Updated last year
- Wayland Guide☆18Aug 30, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Representative point selection by the GF-discrepancy minimization technique for the probability density evolution method (PDEM).☆16Nov 24, 2024Updated last year
- TensorFlow Guide☆21Jan 3, 2022Updated 4 years ago
- A framework for solving reliability analysis (aka design uncertainty quantification) and reliability-based robust design optimization (ak…☆14Feb 13, 2024Updated 2 years ago
- Slides and code for the Stable Isotope Mixing Models course given by Andrew Parnell and Andrew Jackson☆31Apr 30, 2026Updated 2 months ago
- ☆19Jul 2, 2022Updated 4 years ago
- Biostatistics Guide☆14Jul 20, 2021Updated 5 years ago
- A Metropolis-Hastings MCMC sampler accelerated via diffusion models☆17Jul 25, 2024Updated last year
- C/C++ Guide☆23Jan 3, 2022Updated 4 years ago
- Iterative Closest Point algorith implementation to register 2 point clouds☆26Jan 26, 2025Updated last year
- 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.
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Aug 19, 2022Updated 3 years ago
- Calculus Guide☆23Sep 5, 2021Updated 4 years ago
- ☆11Apr 5, 2022Updated 4 years ago
- Autonomous wind blade inspection using Hough line transformation, canny edge detection and stereo vision.☆30Nov 13, 2025Updated 8 months ago
- HashiCorp Cloud Guide☆20Jan 23, 2022Updated 4 years ago
- Implementation of Stochastic Gradient Descent algorithms in Python (cite https://doi.org/10.1007/s00158-020-02599-z)☆12May 19, 2021Updated 5 years ago
- TSRoots: A Python package for efficient Gaussian process Thompson sampling in Bayesian optimization via rootfinding.☆10Mar 11, 2025Updated last year
- This code realizes the construction of cokriging model, which is used for the structural size design of solder joints. The input is the r…☆11Aug 11, 2023Updated 2 years ago
- ☆10Mar 31, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Introduction to surrogate modeling optimization in wireless networks☆10May 10, 2018Updated 8 years ago
- IoT Guide☆28Feb 6, 2022Updated 4 years ago
- Subset simulation is a method of estimating low probability events. Here I adapt SS to perform well with correlated inputs.☆11Jan 9, 2019Updated 7 years ago
- ☆11Aug 11, 2021Updated 4 years ago
- Vulkan Guide☆31Jan 3, 2022Updated 4 years ago
- Routines for using CUDA to perform MCMC Sampling of Hierarchical Models with GPUs.☆16May 31, 2017Updated 9 years ago
- Reference CUDA implementation of training a small Bayesian neural network (BNN) using MCMC☆18May 28, 2021Updated 5 years ago