Alternatives and similar repositories for tiny-tiny-diffusion

Users that are interested in tiny-tiny-diffusion are comparing it to the libraries listed below

• daigo0927 / jax-ddim
  Jax/Flax implementation of Denoising Diffusion Implicit Models
  ☆20Updated 3 years ago
• lucidrains / hl-gauss-pytorch
  The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch
  ☆72Updated 2 months ago
• apple / ml-agm
  ☆44Updated last year
• tatsy / normalizing-flows-pytorch
  PyTorch implementations of normalizing flow and its variants.
  ☆79Updated 4 years ago
• enhuiz / langevin-dynamics-and-score-matching
  A demo shows how to combine Langevin dynamics with score matching for generative models.
  ☆42Updated 5 years ago
• AaronHavens / FlowMatching
  A repo where I play with conditional flow approaches for learning time-varying vector-fields.
  ☆23Updated last year
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆53Updated 3 years ago
• kvfrans / jaxtransformer
  Minimal Transformer base in JAX. A single backbone for language modelling, diffusion, classification, etc...
  ☆14Updated 8 months ago
• lucidrains / gradnorm-pytorch
  A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch
  ☆126Updated 5 months ago
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆115Updated last year
• Jhomanik / Optimal-Flow-Matching
  The official repository for the paper "Optimal Flow Matching: Learning Straight Trajectories in Just One Step" (NeurIPS 2024)
  ☆109Updated last year
• matthias-wright / jax-fid
  FID computation in Jax/Flax.
  ☆29Updated last year
• lucidrains / adam-atan2-pytorch
  Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch
  ☆135Updated 3 months ago
• autonomousvision / akorn
  [ICLR'25] Artificial Kuramoto Oscillatory Neurons
  ☆109Updated 3 months ago
• kvfrans / splus
  ☆123Updated 7 months ago
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆39Updated last year
• lucidrains / kalman-filtering-attention
  Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"
  ☆59Updated 2 years ago
• lucidrains / scaling-vin-pytorch
  Exploration into the Scaling Value Iteration Networks paper, from Schmidhuber's group
  ☆37Updated last year
• thjashin / multires-conv
  Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
  ☆127Updated 2 years ago
• tml-epfl / why-weight-decay
  Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]
  ☆70Updated last year
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆61Updated 8 months ago
• sangyun884 / fast-ode
  Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
  ☆91Updated 11 months ago
• lucidrains / simplicial-attention
  Implementation of 2-simplicial attention proposed by Clift et al. (2019) and the recent attempt to make practical in Fast and Simplex, Ro…
  ☆46Updated 5 months ago
• brianlck / FlexMDM
  ☆39Updated 4 months ago
• amorehead / jvp_flash_attention
  Flash Attention Triton kernel with support for second-order derivatives
  ☆138Updated last month
• bm371613 / conditional-flow-matching
  ☆14Updated last year
• lucidrains / hyper-connections
  Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public
  ☆168Updated 2 weeks ago
• SKholkin / LightSB-Matching
  Light and Optimal Schrödinger Bridge Matching (ICML 2024) official PyTorch implementation
  ☆52Updated last year
• yukara-ikemiya / minimal-sqvae
  A minimal Pytorch Implementation of Stochastically Quantized Variational AutoEncoder (SQ-VAE) by Sony
  ☆33Updated 2 years ago
• kylehkhsu / latent_quantization
  ☆44Updated 2 years ago