Alternatives and similar repositories for nanoDD

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

• google-deepmind / md4
  Official Jax Implementation of MD4 Masked Diffusion Models
  ☆79Updated 2 months ago
• timgaripov / compositional-sculpting
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆21Updated last year
• AndyShih12 / LongHorizonTemperatureScaling
  PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
  ☆20Updated last year
• necludov / super-diffusion
  The Superposition of Diffusion Models Using the Itô Density Estimator
  ☆44Updated last month
• lindermanlab / elk
  Scalable and Stable Parallelization of Nonlinear RNNS
  ☆15Updated 3 months ago
• advaitgosai / autocite
  simple bibtex generator for any text with \cite{}
  ☆31Updated 10 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 3 months ago
• facebookresearch / adjoint_sampling
  code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"
  ☆47Updated this week
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆40Updated last year
• LiibanMo / scikit-jax
  Your favourite classical machine learning algos on the GPU/TPU
  ☆20Updated 4 months ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆45Updated 2 years ago
• AndPotap / einsum-search
  ☆32Updated 7 months ago
• masa-ue / SVDD
  Derivative-Free Guidance in Diffusion Models with Soft Value-Based Decoding. For controlled generation in DNA, RNA, proteins, molecules (…
  ☆31Updated 7 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 7 months ago
• SamsungSAILMontreal / AnyMolGenCritic
  ☆21Updated last month
• Blackzxy / LoGAH
  ☆21Updated 7 months ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆58Updated last year
• konstantinosKokos / ape
  🧮 Algebraic Positional Encodings.
  ☆13Updated 4 months ago
• crowsonkb / LDLM
  Latent Diffusion Language Models
  ☆68Updated last year
• necludov / wl-mechanics
  ☆32Updated 11 months ago
• GFNOrg / gfn-diffusion
  ☆33Updated last month
• lucidrains / tranception-pytorch
  Implementation of Tranception, an attention network, paired with retrieval, that is SOTA for protein fitness prediction
  ☆32Updated 2 years ago
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• GallagherCommaJack / modulax
  ☆17Updated 8 months ago
• maxxxzdn / implicit-steerable-kernels
  Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]
  ☆29Updated 2 months ago
• opallab / positional_attention
  Source code for the paper "Positional Attention: Out-of-Distribution Generalization and Expressivity for Neural Algorithmic Reasoning"
  ☆14Updated 3 months ago
• lazaratan / meta-flow-matching
  Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
  ☆56Updated 2 months ago
• YujiaBao / ls
  Learning to Split for Automatic Bias Detection
  ☆48Updated 2 years ago
• ejmichaud / grokking-squared
  ☆25Updated 2 years ago
• lucidrains / frame-averaging-pytorch
  Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network
  ☆50Updated 9 months ago