Alternatives and similar repositories for GMM_DAE

Users that are interested in GMM_DAE are comparing it to the libraries listed below

• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆81Updated last year
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆56Updated last year
• volagold / nce
  Noise Contrastive Estimation (NCE) in PyTorch
  ☆31Updated 7 months ago
• iamalexkorotin / Wasserstein2Barycenters
  PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)
  ☆24Updated 3 years ago
• namratadeka / circe
  Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)
  ☆21Updated 2 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆75Updated 3 years ago
• LituRout / OptimalTransportModeling
  Generative Modeling with Optimal Transport Maps - ICLR 2022
  ☆60Updated 3 years ago
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆24Updated last year
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆87Updated 2 years ago
• psanch21 / causal-flows
  ☆51Updated last year
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆78Updated 3 years ago
• ermongroup / f-dre
  Featurized Density Ratio Estimation
  ☆20Updated 4 years ago
• facebookresearch / CausalRepID
  Experiments to reproduce results in Interventional Causal Representation Learning.
  ☆26Updated 2 years ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 3 years ago
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆70Updated 2 years ago
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆87Updated 3 years ago
• vislearn / GIN
  Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)
  ☆33Updated 4 years ago
• ilkhem / icebeem
  Code for ICE-BeeM paper - NeurIPS 2020
  ☆87Updated 4 years ago
• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆39Updated last year
• iamalexkorotin / Wasserstein2GenerativeNetworks
  PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)
  ☆57Updated 2 years ago
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆43Updated last year
• bobby-he / bayesian-ntk
  Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'
  ☆26Updated 4 years ago
• sharpenb / Posterior-Network
  Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)
  ☆78Updated 3 years ago
• rpatrik96 / ima-vae
  This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…
  ☆23Updated last year
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆17Updated last year
• vdeborto / cdsb
  ☆24Updated 3 years ago
• kxh001 / ITdiffusion
  Information-Theoretic Diffusion: A brand new diffusion model / density estimator based on information theory.
  ☆36Updated last year
• patrickrchao / DiffusionBasedCausalModels
  ☆27Updated 6 months ago
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆49Updated 6 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆57Updated 3 years ago