google-research / discs

Related projects: ⓘ

• maxwshen / gflownet
  ☆14Updated last year
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆73Updated last year
• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆50Updated last year
• aryandeshwal / LADDER
  Python implementation for Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.
  ☆13Updated 2 years ago
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆45Updated 4 months ago
• Tikquuss / GflowNets_Tutorial
  GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…
  ☆81Updated last year
• ruqizhang / discrete-langevin
  ☆30Updated last year
• augustwester / gflownet
  A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)
  ☆40Updated last year
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆67Updated last year
• henrymoss / BOSS
  Bayesian Optimisation for String Spaces
  ☆23Updated 2 years ago
• take-koshizuka / NLSB
  ☆17Updated last year
• brandontrabucco / design-bench
  Benchmarks for Model-Based Optimization
  ☆80Updated 4 months ago
• desi-ivanova / idad
  Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods
  ☆17Updated 2 years ago
• timgaripov / compositional-sculpting
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆20Updated 11 months ago
• necludov / wl-mechanics
  ☆30Updated 3 months ago
• lgresele / independent-mechanism-analysis
  Code for the paper: "Independent mechanism analysis, a new concept?"
  ☆25Updated last year
• saleml / continuous-gfn
  ☆19Updated last year
• WayneDW / Contour-Stochastic-Gradient-Langevin-Dynamics
  An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)
  ☆39Updated 2 years ago
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆15Updated 3 weeks ago
• nataliemaus / lolbo
  ☆24Updated last year
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆34Updated 2 years ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆78Updated 2 years ago
• GFNOrg / multi-objective-gfn
  Code for "Multi-Objective GFlowNets"
  ☆10Updated last year
• google-deepmind / annealed_flow_transport
  ☆49Updated last year
• necludov / jam
  Implementation of Action Matching
  ☆35Updated last year
• dbsxodud-11 / ls_gfn
  Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)
  ☆15Updated 3 weeks ago
• plai-group / gsdm
  Graphically structured diffusion model.
  ☆17Updated last year
• xingchenwan / Casmopolitan
  [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces
  ☆29Updated last year
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆35Updated last year
• jarridrb / DEM
  Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
  ☆38Updated 7 months ago