Projects in Awesome Lists by wiseodd
A curated list of projects in awesome lists by wiseodd .
https://github.com/wiseodd/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
gan generative-model machine-learning pytorch rbm restricted-boltzmann-machine tensorflow vae
Last synced: 14 May 2025
https://github.com/wiseodd/mcmc
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
bayesian-inference machine-learning markov-chain-monte-carlo mcmc sampling-methods
Last synced: 07 Apr 2025
https://github.com/wiseodd/MCMC
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
bayesian-inference machine-learning markov-chain-monte-carlo mcmc sampling-methods
Last synced: 01 May 2025
https://github.com/wiseodd/hipsternet
All the hipster things in Neural Net in a single repo
Last synced: 10 Apr 2025
https://github.com/wiseodd/probabilistic-models
Collection of probabilistic models and inference algorithms
bayesian bayesian-inference dirichlet-process gibbs-sampling machine-learning mcmc probabilistic-models python variational-inference
Last synced: 13 Apr 2025
https://github.com/wiseodd/controlled-text-generation
Reproducing Hu, et. al., ICML 2017's "Toward Controlled Generation of Text"
Last synced: 08 Apr 2025
https://github.com/wiseodd/natural-gradients
Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)
Last synced: 06 Apr 2025
https://github.com/wiseodd/last_layer_laplace
Last-layer Laplace approximation code examples
Last synced: 19 Jul 2025
https://github.com/wiseodd/pub-ready-plots
Agustinus' very opiniated publication-ready plotting library
Last synced: 06 Apr 2025
https://github.com/wiseodd/wiseodd.github.io
Agustinus‘ personal website and blog
Last synced: 05 Oct 2025
https://github.com/wiseodd/lula
Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).
Last synced: 15 Jul 2025
https://github.com/wiseodd/lapeft-bayesopt
Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.
bayesian-optimization laplace-approximation llm peft
Last synced: 06 Apr 2025
https://github.com/wiseodd/compound-density-networks
Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019).
Last synced: 16 Mar 2026
https://github.com/wiseodd/cuda-pso
Comparison between CUDA and CPU for PSO using 3-dimensional Levy function as test case
Last synced: 24 Oct 2025
https://github.com/wiseodd/swarm-image-segmenter
Image segmentation using swarm intelligence, accelerated using GPGPU (CUDA)
Last synced: 06 Apr 2025
https://github.com/wiseodd/laplace-bayesopt
Laplace approximated BNN surrogate for BoTorch
Last synced: 12 Jul 2025
https://github.com/wiseodd/rgpr
Companion code for the paper "An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence" (NeurIPS 2021)
Last synced: 06 Apr 2025
https://github.com/wiseodd/two-funds-rebalancer
Given your current portfolio value, desired allocation after rebalancing, and the amount of cash you have, this script will output how much of your cash should be used to buy stock/bonds (in percent). Only works for portfolios with two funds, e.g. the Couch Potato and classic two-funds 60-40 portfolios.
Last synced: 10 Apr 2025
https://github.com/wiseodd/llm-bayesopt-exps
Official experiment code for the "Sober Look at LLMs for Material Discovery" paper.
Last synced: 30 Oct 2025
https://github.com/wiseodd/swarm-image-segmenter-qt
GUI frontend for image segmentation using PSO and CUDA, using Qt.
Last synced: 10 Apr 2025
https://github.com/wiseodd/rust-playground
Trying out Rust and `tch-rs` (Rust binding for `libtorch`)
Last synced: 10 Apr 2025
https://github.com/wiseodd/exercism-gleam
My solution to https://exercism.org/tracks/gleam
Last synced: 28 Feb 2026