Alternatives and similar repositories for awesome-hypernetworks

Users that are interested in awesome-hypernetworks are comparing it to the libraries listed below

• chrhenning / hypnettorch
  Package for working with hypernetworks in PyTorch.
  ☆131Updated 2 years ago
• locuslab / edge-of-stability
  ☆70Updated 10 months ago
• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆89Updated 2 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆62Updated 3 years ago
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆90Updated last year
• google-research / growneuron
  ☆55Updated last year
• SamsungSAILMontreal / ghn3
  Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
  ☆36Updated last year
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆61Updated 2 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆66Updated 3 years ago
• Delay-Xili / LDR
  The official PyTorch implementation of the paper: Xili Dai, Shengbang Tong, et al. "Closed-Loop Data Transcription to an LDR via Minimaxi…
  ☆64Updated 2 years ago
• EkdeepSLubana / MMC
  Codebase for Mechanistic Mode Connectivity
  ☆14Updated 2 years ago
• GFNOrg / diffusion-finetuning
  ☆36Updated last year
• microsoft / ReinMax
  Beyond Straight-Through
  ☆101Updated 2 years ago
• swyoon / pytorch-energy-based-model
  Simple illustrative examples for energy-based models in PyTorch
  ☆66Updated 5 years ago
• fedebotu / ICLR2023-OpenReviewData
  Crawl & Visualize ICLR 2023 Data from OpenReview
  ☆85Updated 2 years ago
• Cranial-XIX / longhorn
  Official PyTorch Implementation of the Longhorn Deep State Space Model
  ☆55Updated 10 months ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆78Updated 3 years ago
• hankook / CLEL
  ☆16Updated 2 years ago
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆117Updated 8 months ago
• chrhenning / hypercl
  Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…
  ☆166Updated 3 years ago
• autonomousvision / akorn
  [ICLR'25] Artificial Kuramoto Oscillatory Neurons
  ☆102Updated last month
• 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
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆84Updated 2 years ago
• yilundu / irem_code_release
  ICML 2022: Learning Iterative Reasoning through Energy Minimization
  ☆48Updated 2 years ago
• fedebotu / ICLR2022-OpenReviewData
  Crawl & visualize ICLR papers and reviews
  ☆110Updated 2 years ago
• orobix / fwdgrad
  Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch
  ☆113Updated 2 years ago
• ml-research / rational_activations
  Rational Activation Functions - Replacing Padé Activation Units
  ☆99Updated 6 months ago
• shyamsn97 / hyper-nn
  Easy Hypernetworks in Pytorch and Jax
  ☆105Updated 2 years ago
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆116Updated last year
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆46Updated 2 years ago