Alternatives and similar repositories for DASH

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

• nick11roberts / XD
  ☆12Updated 3 years ago
• mkhodak / relax
  ☆15Updated 3 years ago
• KellerJordan / REPAIR
  Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair
  ☆52Updated last year
• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆90Updated 2 years ago
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆32Updated 2 years ago
• rtu715 / NAS-Bench-360
  Introducing diverse tasks for NAS
  ☆50Updated 3 years ago
• gregorbachmann / scaling_mlps
  ☆52Updated last year
• HayeonLee / MetaD2A
  Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)
  ☆64Updated last year
• ModelZoos / ModelZooDataset
  Model Zoos published at the NeurIPS 2022 Dataset & Benchmark track: "Model Zoos: A Dataset of Diverse Populations of Neural Network Model…
  ☆57Updated 2 months ago
• hlml / fortuitous_forgetting
  ☆19Updated 3 years ago
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆46Updated 2 years ago
• JunLi-Galios / Optimization-on-Stiefel-Manifold-via-Cayley-Transform
  Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform
  ☆43Updated 6 years ago
• js-d / sim_metric
  ☆37Updated 2 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 4 years ago
• SamsungSAILMontreal / ghn3
  Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
  ☆37Updated last year
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆62Updated 2 years ago
• IlanPrice / DCTpS
  Code for testing DCT plus Sparse (DCTpS) networks
  ☆14Updated 4 years ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆81Updated 2 years ago
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• dydjw9 / Efficient_SAM
  ☆58Updated 2 years ago
• rahimentezari / PermutationInvariance
  ☆23Updated 3 years ago
• NingMiao / InstaAug
  ☆13Updated 2 years ago
• TNAS-DCS / TNAS-DCS
  ☆13Updated 3 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆58Updated 2 years ago
• thjashin / multires-conv
  Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
  ☆127Updated 2 years ago
• yolky / RFAD
  Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"
  ☆37Updated 2 years ago
• klightz / Firefly
  Offical Repo for Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks. Accepted by Neurips 2020.
  ☆34Updated 5 years ago
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆41Updated 3 years ago
• HazyResearch / augmentation_code
  Reproducible code for Augmentation paper
  ☆17Updated 6 years ago
• lushleaf / Network-Pruning-Greedy-Forward-Selection
  Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
  ☆21Updated 4 years ago