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
• AndyShih12 / LongHorizonTemperatureScaling
  PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
  ☆20Updated 2 years ago
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆84Updated 2 years ago
• timgaripov / compositional-sculpting
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆24Updated last year
• GFNOrg / gfn-diffusion
  ☆34Updated 5 months ago
• necludov / wl-mechanics
  ☆31Updated last year
• ruqizhang / discrete-langevin
  ☆38Updated 3 years ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆47Updated 3 years ago
• google-deepmind / md4
  Official Jax Implementation of MD4 Masked Diffusion Models
  ☆126Updated 6 months ago
• lucidrains / frame-averaging-pytorch
  Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network
  ☆50Updated last year
• shikaiqiu / compute-better-spent
  ☆58Updated 11 months ago
• 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
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆67Updated 6 months ago
• tychovdo / noethers-razor
  Code for NeurIPS 2024 paper: "Noether's razor: Learning Conserved Quantities" by Tycho F. A. van der Ouderaa, Mark van der Wilk, Pim de H…
  ☆10Updated 11 months ago
• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆56Updated 2 years ago
• necludov / super-diffusion
  The Superposition of Diffusion Models Using the Itô Density Estimator
  ☆51Updated 6 months ago
• YujiaBao / ls
  Learning to Split for Automatic Bias Detection
  ☆47Updated 2 years ago
• necludov / jam
  Implementation of Action Matching
  ☆46Updated 2 years ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated last year
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• brendel-group / compositional-ood-generalization
  Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)
  ☆12Updated 2 years ago
• davzha / multiset-equivariance
  ☆14Updated 3 years ago
• thjashin / multires-conv
  Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
  ☆127Updated last year
• lucidrains / gateloop-transformer
  Implementation of GateLoop Transformer in Pytorch and Jax
  ☆90Updated last year
• maxxxzdn / implicit-steerable-kernels
  Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]
  ☆29Updated 7 months ago
• lindermanlab / elk
  Scalable and Stable Parallelization of Nonlinear RNNS
  ☆22Updated 3 weeks ago
• AndPotap / einsum-search
  ☆33Updated 11 months ago
• facebookresearch / adjoint_sampling
  code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"
  ☆121Updated 2 months ago
• sooheon / perceiver-jax
  Perceiver (transformer variant) implemented in JAX and Flax
  ☆12Updated 4 years ago
• mfinzi / residual-pathway-priors
  ☆20Updated 3 years ago