Alternatives and similar repositories for DASH:

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

• nick11roberts / XD
  ☆11Updated 2 years ago
• mkhodak / relax
  ☆15Updated 2 years ago
• SamsungSAILMontreal / ghn3
  Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
  ☆32Updated 8 months ago
• TNAS-DCS / TNAS-DCS
  ☆13Updated 2 years ago
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆30Updated last year
• rtu715 / NAS-Bench-360
  Introducing diverse tasks for NAS
  ☆50Updated 2 years ago
• naszilla / nas-encodings
  Encodings for neural architecture search
  ☆29Updated 4 years ago
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆44Updated 2 years ago
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆30Updated 2 years ago
• xingchenwan / nasbowl
  [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)
  ☆24Updated 3 years ago
• automl / jahs_bench_201
  The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.
  ☆15Updated 2 years ago
• AwesomeLemon / ENCAS
  NAS + Cascades | Best Paper @ GECCO 2022
  ☆16Updated last year
• HayeonLee / MetaD2A
  Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)
  ☆64Updated 9 months ago
• shwinshaker / LipGrow
  An adaptive training algorithm for residual network
  ☆15Updated 4 years ago
• YiteWang / NTK-SAP
  [ICLR2023] NTK-SAP: Improving neural network pruning by aligning training dynamics
  ☆18Updated 2 years ago
• IlanPrice / DCTpS
  Code for testing DCT plus Sparse (DCTpS) networks
  ☆14Updated 3 years ago
• Sanaelotfi / Bayesian_model_comparison
  Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".
  ☆35Updated 2 years ago
• fmsnew / nas-bench-nlp-release
  ☆28Updated 10 months ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 5 years ago
• js-d / sim_metric
  ☆35Updated last year
• hlml / fortuitous_forgetting
  ☆19Updated 3 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆56Updated last year
• team-approx-bayes / bayesian-sam
  Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.
  ☆25Updated last year
• aryol / inductive-scratchpad
  Implementation for our paper "How Far Can Transformers Reason? The Locality Barrier and Inductive Scratchpad"
  ☆12Updated 10 months ago
• SamsungSAILMontreal / nino
  Code for "Accelerating Training with Neuron Interaction and Nowcasting Networks" [to appear at ICLR 2025]
  ☆19Updated last month
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆80Updated last year
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• automl / zero-shot-automl-with-pretrained-models
  Official repository for the paper "Zero-Shot AutoML with Pretrained Models"
  ☆47Updated last year
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆60Updated last year