Alternatives and similar repositories for mac:

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

• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆16Updated 5 months ago
• take-koshizuka / NLSB
  ☆19Updated 2 months ago
• andrew-cr / tauLDR
  Code for the paper https://arxiv.org/abs/2205.14987v2
  ☆49Updated last year
• franciscovargas / GP_Sinkhorn
  GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134
  ☆22Updated 2 years ago
• timgaripov / compositional-sculpting
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆21Updated last year
• bunnech / condot
  Supervised Training of Conditional Monge Maps
  ☆16Updated last year
• ruqizhang / discrete-langevin
  ☆34Updated 2 years ago
• GFNOrg / gfn-diffusion
  ☆27Updated 2 weeks ago
• necludov / jam
  Implementation of Action Matching
  ☆41Updated last year
• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆54Updated last year
• DoronHav / WassersteinFlowMatching
  ☆23Updated 2 weeks ago
• tung-nd / ExPT
  ☆16Updated last year
• gnobitab / ConstrainedDiffusionBridge
  ☆12Updated 2 years ago
• ngushchin / EntropicOTBenchmark
  Entropic Optimal Transport Benchmark (NeurIPS 2023).
  ☆23Updated last year
• ermongroup / dre-infinity
  Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)
  ☆18Updated 3 years ago
• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆10Updated 2 years ago
• necludov / wl-mechanics
  ☆32Updated 10 months ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆74Updated 2 years ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆44Updated 2 years ago
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆40Updated 2 years ago
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆82Updated 2 years ago
• slachapelle / disentanglement_via_mechanism_sparsity
  ☆17Updated last year
• hnisonoff / discrete_guidance
  Code for our paper "Unlocking Guidance for Discrete State-Space Diffusion and Flow Models"
  ☆14Updated 5 months ago
• siddarthk97 / ddom
  ☆29Updated last year
• lgresele / independent-mechanism-analysis
  Code for the paper: "Independent mechanism analysis, a new concept?"
  ☆24Updated last year
• maxwshen / gflownet
  ☆15Updated last year
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆110Updated last year
• cscarv / riemannian-metric-learning-ot
  ☆17Updated last year
• ccr-cheng / statistical-flow-matching
  Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.
  ☆24Updated 5 months ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆45Updated 2 years ago