julian-8897 / hyperbolic_vae

Related projects: ⓘ

• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆71Updated last month
• loeweX / RotatingFeatures
  Code for the paper: Rotating Features for Object Discovery
  ☆46Updated last month
• MinaGhadimiAtigh / hyperbolic_representation_learning
  The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022
  ☆61Updated last year
• google-deepmind / dm_hamiltonian_dynamics_suite
  ☆33Updated 2 years ago
• hankook / CLEL
  ☆13Updated last year
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆67Updated last year
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆72Updated 8 months ago
• oxcsml / constrained-diffusion
  ☆13Updated last year
• qsh-zh / gDDIM
  [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic
  ☆47Updated 10 months 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
• maxxxzdn / implicit-steerable-kernels
  Official repository of Implicit Neural Convolutional Kernels for Steerable CNNs, Zhdanov et al.
  ☆23Updated 5 months ago
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆34Updated 3 months ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆54Updated last year
• qsh-zh / pis
  [ICLR 2022] Path integral sampler
  ☆40Updated last year
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆43Updated last year
• ZibinDong / diffusion_models_minimal_tutorial
  ☆13Updated 7 months ago
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆19Updated 10 months ago
• IndustAI / learning-group-structure
  Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"
  ☆14Updated last year
• vivekmyers / contrastive_metrics
  Code for the paper "Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making"
  ☆20Updated 2 months ago
• KellyYutongHe / mpgd_pytorch
  The official PyTorch implementation of Manifold Preserving Guided Diffusion (MPGD)
  ☆16Updated 5 months ago
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆37Updated 2 months ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆43Updated last year
• tychovdo / lila
  Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"
  ☆23Updated last year
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆63Updated last month
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆56Updated last year
• ngruver / lie-deriv
  ☆35Updated last year
• saleml / continuous-gfn
  ☆19Updated last year
• maxxxzdn / clifford-group-equivariant-cnns
  Code repository of the paper "Clifford-Steerable Convolutional Neural Networks"
  ☆39Updated last month
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆19Updated last month
• ngushchin / EntropicOTBenchmark
  Entropic Optimal Transport Benchmark (NeurIPS 2023).
  ☆18Updated 5 months ago