SHI-Yu-Zhe / generative-modeling-explained

Related projects: ⓘ

• yilundu / irem_code_release
  ICML 2022: Learning Iterative Reasoning through Energy Minimization
  ☆42Updated last year
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆60Updated 2 years ago
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆38Updated 7 months ago
• isjakewong / awesome-discrete-diffusion-models
  A curated list for awesome discrete diffusion models resources.
  ☆35Updated last year
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆71Updated last month
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆43Updated last year
• yuPeiyu98 / Latent-Diffusion-EBM
  [ICML 2022] Latent Diffusion Energy-Based Model for Interpretable Text Modeling
  ☆63Updated 2 years ago
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆63Updated last month
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆40Updated 2 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆56Updated last year
• hankook / CLEL
  ☆13Updated last year
• varun-ml / diffusion-models-tutorial
  Experiment with diffusion models that you can run on your local jupyter instances
  ☆52Updated last month
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆120Updated 3 years ago
• igul222 / plaid
  ☆64Updated last year
• ling-pan / GAFN
  ☆23Updated 5 months ago
• swyoon / pytorch-energy-based-model
  Simple illustrative examples for energy-based models in PyTorch
  ☆59Updated 4 years ago
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆73Updated last year
• lgresele / independent-mechanism-analysis
  Code for the paper: "Independent mechanism analysis, a new concept?"
  ☆25Updated last year
• ruiqigao / recovery_likelihood
  ☆49Updated 3 years ago
• andrew-cr / tauLDR
  Code for the paper https://arxiv.org/abs/2205.14987v2
  ☆40Updated 5 months ago
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆19Updated last month
• GFNOrg / gfn-diffusion
  ☆18Updated this week
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆21Updated 9 months ago
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆43Updated last year
• phlippe / CITRIS
  Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Lear…
  ☆47Updated last year
• timgaripov / compositional-sculpting
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆20Updated 11 months ago
• ermongroup / fast_feedforward_computation
  Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
  ☆25Updated 2 years ago
• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆50Updated last year
• yilundu / ired_code_release
  ☆39Updated 3 months ago
• Tikquuss / GflowNets_Tutorial
  GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…
  ☆81Updated last year