Alternatives and similar repositories for einspace

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

• machinelearningnuremberg / QuickTune
  [ICLR2024] Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
  ☆32Updated 7 months ago
• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆89Updated last year
• sjunhongshen / DASH
  ☆23Updated 2 years ago
• facebookresearch / LANCER
  Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"
  ☆36Updated last year
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆81Updated 11 months ago
• KellerJordan / REPAIR
  Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair
  ☆48Updated last year
• shikaiqiu / compute-better-spent
  ☆53Updated 9 months ago
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆99Updated last year
• nikhilvyas / SOAP
  ☆197Updated 7 months ago
• oripress / EntropyEnigma
  Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"
  ☆53Updated last year
• chengxiang / LinearTransformer
  Pytorch code for experiments on Linear Transformers
  ☆21Updated last year
• smonsays / contrastive-meta-learning
  Code accompanying the paper "A contrastive rule for meta-learning"
  ☆12Updated 8 months ago
• TNAS-DCS / TNAS-DCS
  ☆13Updated 2 years ago
• AhmedImtiazPrio / grok-adversarial
  Deep Networks Grok All the Time and Here is Why
  ☆37Updated last year
• bmucsanyi / bud
  ☆17Updated 10 months ago
• ModelZoos / ModelZooDataset
  Model Zoos published at the NeurIPS 2022 Dataset & Benchmark track: "Model Zoos: A Dataset of Diverse Populations of Neural Network Model…
  ☆55Updated 2 years ago
• ifiaposto / Distance_Aware_Bottleneck
  Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024
  ☆28Updated 10 months ago
• abdelwahed / OT_for_big_data
  Optimal Transport in the Big Data Era
  ☆106Updated 8 months ago
• TianjinYellow / SPAM-Optimizer
  ☆33Updated 4 months ago
• SamsungSAILMontreal / ghn3
  Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
  ☆36Updated 10 months ago
• AwesomeLemon / ENCAS
  NAS + Cascades | Best Paper @ GECCO 2022
  ☆15Updated last year
• verbiiyo / rigl-torch
  Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.
  ☆57Updated 3 years ago
• sail-sg / win
  ☆9Updated 2 years ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆130Updated 2 years ago
• mariuslindegaard / Intermediate_Neural_Collapse
  (ICML 2023) Feature learning in deep classifiers through Intermediate Neural Collapse: Accompanying code
  ☆15Updated last year
• fangyuan-ksgk / selective-attention-transformer
  Unofficial Implementation of Selective Attention Transformer
  ☆17Updated 8 months ago
• machine-discovery / deer
  Parallelizing non-linear sequential models over the sequence length
  ☆52Updated 3 weeks ago
• badripatro / mamba360
  State Space Models
  ☆68Updated last year
• KellerJordan / cifar10-airbench
  CIFAR-10 speedruns: 94% in 2.6 seconds and 96% in 27 seconds
  ☆263Updated 4 months ago
• nblt / F-SAM
  [CVPR 2024] Friendly Sharpness-Aware Minimization
  ☆33Updated 8 months ago