Alternatives and similar repositories for qkvflow

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

• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆58Updated 4 months ago
• samholt / NeuralLaplace
  Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
  ☆80Updated 5 months ago
• lucidrains / scaling-vin-pytorch
  Exploration into the Scaling Value Iteration Networks paper, from Schmidhuber's group
  ☆36Updated last year
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆81Updated last year
• antonioterpin / jkonet-star
  JAX implementation of the JKOnet* architecture presented in "Learning Diffusion at Lightspeed".
  ☆31Updated 6 months ago
• autonomousvision / akorn
  [ICLR'25] Artificial Kuramoto Oscillatory Neurons
  ☆102Updated last month
• lucidrains / hl-gauss-pytorch
  The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch
  ☆65Updated last month
• google-deepmind / spectral_ssm
  ☆34Updated last year
• sjhwang82 / GenerativeAI
  Course Website for "AI618: Generative Model and Unsupervised Learning"
  ☆37Updated 2 years ago
• julian-8897 / hyperbolic_vae
  Variational Autoencoder with non-euclidean (hyperbolic) latent space
  ☆11Updated 2 years ago
• AhmedImtiazPrio / grok-adversarial
  Deep Networks Grok All the Time and Here is Why
  ☆37Updated last year
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆104Updated last year
• phlippe / jax_trainer
  Lightning-like training API for JAX with Flax
  ☆42Updated 9 months ago
• raunaqbhirangi / hiss
  Hierarchical State Space Models
  ☆48Updated last year
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆67Updated 6 months ago
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆37Updated last year
• TariqAHassan / S4Torch
  PyTorch implementation of Structured State Space for Sequence Modeling (S4), based on Annotated S4.
  ☆87Updated last year
• kvfrans / splus
  ☆120Updated 3 months ago
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆82Updated last year
• lucidrains / frame-averaging-pytorch
  Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network
  ☆50Updated last year
• GFNOrg / gfn-diffusion
  ☆34Updated 5 months ago
• m1balcerak / EnergyMatching
  Official repository for "Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling" [NeurIPS 2025]
  ☆66Updated last week
• matthias-wright / jax-fid
  FID computation in Jax/Flax.
  ☆28Updated last year
• radarFudan / mamba-minimal-jax
  ☆34Updated 10 months ago
• varun-ml / diffusion-models-tutorial
  Experiment with diffusion models that you can run on your local jupyter instances
  ☆63Updated 11 months ago
• qsh-zh / pis
  [ICLR 2022] Path integral sampler
  ☆52Updated 2 years ago
• nZhangx / TrajectoryFlowMatching
  Code repository for Trajectory Flow Matching
  ☆82Updated 10 months ago
• sony / fp-diffusion
  ☆29Updated last year
• qiauil / torchfsm
  TorchFSM: Fourier Spectral Method with PyTorch
  ☆48Updated 2 weeks ago
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆88Updated last year