brandontrabucco / design-baselinesLinks
Baselines for Model-Based Optimization
☆55Updated 3 years ago
Alternatives and similar repositories for design-baselines
Users that are interested in design-baselines are comparing it to the libraries listed below
Sorting:
- ☆53Updated 3 years ago
- Benchmarks for Model-Based Optimization☆96Updated last year
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆43Updated 2 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆46Updated 3 years ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆86Updated 2 years ago
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆41Updated 5 years ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆86Updated 2 years ago
- Code for our TMLR paper "Distributional GFlowNets with Quantile Flows".☆13Updated last year
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- [ICLR 2022] Path integral sampler☆52Updated 2 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆94Updated 3 years ago
- ☆24Updated 3 years ago
- ☆27Updated 2 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆26Updated last year
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆76Updated 3 years ago
- Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".☆24Updated 2 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆69Updated 3 years ago
- ☆18Updated last year
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆57Updated 2 years ago
- ☆19Updated 2 years ago
- PyTorch Implementation of Reptile☆20Updated 4 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 3 years ago
- ☆14Updated 3 years ago
- ☆15Updated 6 years ago
- ☆25Updated last year
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆25Updated 2 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆52Updated 4 years ago
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆42Updated 3 years ago
- Code for the paper Novelty Search in Representational Space for Sample Efficient Exploration presented at NeurIPS 2020.☆14Updated last year