Alternatives and similar repositories for nanoDD

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

• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆41Updated last year
• GFNOrg / gfn-diffusion
  ☆33Updated 6 months ago
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆84Updated 2 years ago
• necludov / super-diffusion
  The Superposition of Diffusion Models Using the Itô Density Estimator
  ☆51Updated 6 months ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆48Updated 3 years ago
• AndyShih12 / LongHorizonTemperatureScaling
  PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
  ☆20Updated 2 years ago
• google-deepmind / md4
  Official Jax Implementation of MD4 Masked Diffusion Models
  ☆132Updated 7 months ago
• timgaripov / compositional-sculpting
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆24Updated 2 years ago
• necludov / wl-mechanics
  ☆31Updated last year
• lucidrains / frame-averaging-pytorch
  Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network
  ☆51Updated last year
• maxxxzdn / implicit-steerable-kernels
  Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]
  ☆29Updated 7 months ago
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆68Updated 7 months ago
• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆56Updated 2 years ago
• sooheon / perceiver-jax
  Perceiver (transformer variant) implemented in JAX and Flax
  ☆12Updated 4 years ago
• ruqizhang / discrete-langevin
  ☆39Updated 3 years ago
• necludov / jam
  Implementation of Action Matching
  ☆46Updated 2 years ago
• facebookresearch / adjoint_sampling
  code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"
  ☆121Updated 2 months ago
• shikaiqiu / compute-better-spent
  ☆58Updated last year
• lazaratan / meta-flow-matching
  Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
  ☆65Updated 7 months ago
• watcl-lab / positional_attention
  Source code for the paper "Positional Attention: Expressivity and Learnability of Algorithmic Computation"
  ☆14Updated 4 months ago
• kuleshov-group / discrete-diffusion-guidance
  Simple Guidance Mechanisms for Discrete Diffusion Models
  ☆55Updated 10 months ago
• DoronHav / WassersteinFlowMatching
  ☆34Updated 2 months ago
• saleml / continuous-gfn
  ☆27Updated 2 years ago
• jarridrb / DEM
  Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
  ☆63Updated 6 months ago
• lindermanlab / elk
  Scalable and Stable Parallelization of Nonlinear RNNS
  ☆23Updated last week
• LiibanMo / scikit-jax
  Your favourite classical machine learning algos on the GPU/TPU
  ☆20Updated 9 months ago
• ExplainableML / uot-fm
  Official Repository for "Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation" [ICLR 2024]
  ☆17Updated last year
• lucidrains / GAF-microbatch-pytorch
  Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch
  ☆25Updated 8 months ago
• HannesStark / dirichlet-flow-matching
  ☆125Updated last year
• ling-pan / GAFN
  ☆25Updated last year