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
• gregorbachmann / scaling_mlps
  ☆51Updated last year
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆30Updated 2 years ago
• SamsungSAILMontreal / ghn3
  Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
  ☆36Updated 10 months ago
• SamsungSAILMontreal / PAPA
  Repository for the PopulAtion Parameter Averaging (PAPA) paper
  ☆26Updated last year
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆45Updated 2 years ago
• aryol / inductive-scratchpad
  Implementation for our paper "How Far Can Transformers Reason? The Locality Barrier and Inductive Scratchpad"
  ☆11Updated last year
• fKunstner / noise-sgd-adam-sign
  ☆16Updated 2 years ago
• js-d / sim_metric
  ☆36Updated last year
• stanislavfort / dissect-git-re-basin
  Replicating and dissecting the git-re-basin project in one-click-replication Colabs
  ☆36Updated 2 years ago
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• HayeonLee / MetaD2A
  Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)
  ☆64Updated 11 months ago
• google-deepmind / ssl_hsic
  ☆37Updated 11 months ago
• SamsungSAILMontreal / nino
  Code for "Accelerating Training with Neuron Interaction and Nowcasting Networks" [to appear at ICLR 2025]
  ☆19Updated last month
• shikaiqiu / compute-better-spent
  ☆53Updated 9 months ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆31Updated 2 years ago
• hlml / fortuitous_forgetting
  ☆19Updated 3 years ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆80Updated last year
• JonasGeiping / dataaugs
  ☆18Updated 2 years ago
• szc12153 / sparse_meta_tuning
  Official implementation for Sparse MetA-Tuning (SMAT)
  ☆16Updated 3 weeks ago
• google-research / growneuron
  ☆55Updated 11 months ago
• smonsays / contrastive-meta-learning
  Code accompanying the paper "A contrastive rule for meta-learning"
  ☆12Updated 8 months ago
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆41Updated 2 years ago
• samuelstanton / gnosis
  Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.
  ☆33Updated last year
• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆89Updated last year
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆61Updated 2 years ago
• microsoft / fnl_paper
  Factorized Neural Layers
  ☆29Updated 2 years ago
• shoaibahmed / metadata_archaeology
  Official code for the paper: "Metadata Archaeology"
  ☆19Updated 2 years ago