Alternatives and similar repositories for FlaxDiff

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

• kvfrans / splus
  ☆120Updated 4 months ago
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆105Updated last year
• radarFudan / mamba-minimal-jax
  ☆33Updated 10 months ago
• JesseFarebro / flax-mup
  Maximal Update Parametrization (μP) with Flax & Optax.
  ☆16Updated 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
• Jhomanik / Optimal-Flow-Matching
  The official repository for the paper "Optimal Flow Matching: Learning Straight Trajectories in Just One Step" (NeurIPS 2024)
  ☆94Updated 10 months ago
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆88Updated last year
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆37Updated last year
• brianfitzgerald / jax-mmdit
  Implementation of Diffusion Transformers and Rectified Flow in Jax
  ☆25Updated last year
• lucidrains / taylor-series-linear-attention
  Explorations into the recently proposed Taylor Series Linear Attention
  ☆99Updated last year
• phlippe / jax_trainer
  Lightning-like training API for JAX with Flax
  ☆43Updated 10 months ago
• shyamsn97 / hyper-nn
  Easy Hypernetworks in Pytorch and Jax
  ☆105Updated 2 years ago
• cloneofsimo / ezmup
  Simple implementation of muP, based on Spectral Condition for Feature Learning. The implementation is SGD only, dont use it for Adam
  ☆85Updated last year
• apple / ml-ademamix
  ☆67Updated 11 months ago
• lucidrains / adam-atan2-pytorch
  Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch
  ☆129Updated this week
• lucidrains / hl-gauss-pytorch
  The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch
  ☆66Updated 2 months ago
• lucidrains / self-reasoning-tokens-pytorch
  Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto
  ☆57Updated last year
• thinking-machines-lab / manifolds
  Supporting code for the blog post on modular manifolds.
  ☆86Updated 3 weeks ago
• thjashin / multires-conv
  Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
  ☆127Updated 2 years ago
• ruke1ire / RTF
  A State-Space Model with Rational Transfer Function Representation.
  ☆82Updated last year
• fal-ai-community / nano-mdm
  Tiny re-implementation of MDM in style of LLaDA and nano-gpt speedrun
  ☆56Updated 7 months ago
• shikaiqiu / compute-better-spent
  ☆58Updated last year
• matthias-wright / jax-fid
  FID computation in Jax/Flax.
  ☆28Updated last year
• kylehkhsu / latent_quantization
  ☆41Updated last year
• enhuiz / langevin-dynamics-and-score-matching
  A demo shows how to combine Langevin dynamics with score matching for generative models.
  ☆40Updated 4 years ago
• p-doom / jasmine
  A simple, performant and scalable JAX-based world modeling codebase
  ☆76Updated last week
• lucidrains / scaling-vin-pytorch
  Exploration into the Scaling Value Iteration Networks paper, from Schmidhuber's group
  ☆37Updated last year
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆68Updated 7 months ago
• louaaron / Reflected-Diffusion
  [ICML 2023] Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)
  ☆158Updated 2 years ago
• young-geng / scalax
  A simple library for scaling up JAX programs
  ☆144Updated 11 months ago