thomasahle / noisy-bayesian-optimizationLinks
Bayesian Optimization for very Noisy functions
☆18Updated 4 years ago
Alternatives and similar repositories for noisy-bayesian-optimization
Users that are interested in noisy-bayesian-optimization are comparing it to the libraries listed below
Sorting:
- A miniscule implementation of reverse mode auto-differentiation☆29Updated 4 years ago
- ☆53Updated 5 months ago
- A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)☆87Updated 10 months ago
- Fast Text Classification with Compressors dictionary☆150Updated 2 years ago
- Automatic Differentiation for Gradient Boosted Decision Trees.☆13Updated 3 years ago
- Credici: Credal Inference for Causal Inference☆20Updated 8 months ago
- A minimalist neural networks library built on a tiny autograd engine☆21Updated last year
- 🦠 AD in less than 20 lines☆54Updated 4 years ago
- Probabilistic Programming eXecution protocol (PPX)☆76Updated 3 years ago
- Code for enumeration from a CFG☆20Updated 2 years ago
- Documentation:☆126Updated 2 years ago
- Python implementation of the PGE algorithm☆51Updated 9 years ago
- ☆108Updated 3 years ago
- Busy Beaver deciders backed by Coq proof☆61Updated 11 months ago
- Smallish programs written to learn something.☆50Updated 2 years ago
- Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.☆65Updated last year
- Library for graphical models of decision making, based on pgmpy and networkx☆112Updated 2 years ago
- A fully Bayesian implementation of sequential model-based optimization☆42Updated 3 months ago
- 1.2% test error on MNIST using only least squares and numpy calls.☆20Updated 2 years ago
- program synthesis with neuro-symbolic differentiable interpreters☆17Updated 4 months ago
- probabilistic programming focused on fun☆49Updated 3 weeks ago
- Inference Combinators in JAX☆52Updated 8 months ago
- A programming project on automatic differentiation in OCaml☆11Updated 3 years ago
- Tools for an Aesara-based PPL.☆67Updated last year
- Code for the series "Searching for Riemann Hypothesis Counterexamples"☆21Updated 2 years ago
- ☆86Updated 8 months ago
- A probabilistic approximate DNF counter☆39Updated 2 months ago
- An interactive exploration of Transformer programming.☆271Updated 2 years ago
- Learn multi-variable optimization by creating a drawing assistant. No deep learning required!☆31Updated 3 years ago
- Haskell prototype to accompany the paper "ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs"☆70Updated 2 years ago