Alternatives and similar repositories for smoe:

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

• huaxiuyao / C-Mixup
  C-Mixup for NeurIPS 2022
  ☆70Updated last year
• ElisaNguyen / bayesian-tda
  Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"
  ☆17Updated last year
• VirtuosoResearch / Regularized-Self-Labeling
  A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models
  ☆28Updated 2 years ago
• sjunhongshen / DASH
  ☆22Updated 2 years ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆53Updated last year
• uclaml / MoE
  Towards Understanding the Mixture-of-Experts Layer in Deep Learning
  ☆28Updated last year
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆34Updated last year
• takeshi-teshima / few-shot-domain-adaptation-by-causal-mechanism-transfer
  Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)
  ☆43Updated 2 years ago
• thudzj / NEigenmaps
  ☆12Updated last year
• clear-nus / NCDSSM
  PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…
  ☆25Updated last year
• weigq / neurips2021_stats
  ☆35Updated 3 years ago
• LeiBAI / Paper-Writing-Rebuttal
  Some thoughts about writing scientific papers
  ☆18Updated 6 months ago
• YiteWang / MetaNTK-NAS
  ☆13Updated 2 years ago
• deeplearning-wisc / MOOD
  Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection
  ☆38Updated last year
• yaoyao-liu / online-hyperparameter-optimization
  PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)
  ☆17Updated last year
• Thinklab-SJTU / UP2ME
  Official implementation of our ICML 2024 paper "UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework…
  ☆28Updated 9 months ago
• yaohungt / Self_Supervised_Learning_Multiview
  ☆42Updated 4 years ago
• ihsaan-ullah / meta-album
  Meta-Album meta-dataset for few-shot image classification
  ☆24Updated 2 years ago
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 3 years ago
• BorealisAI / ssl-for-timeseries
  Self Supervised Learning for Time Series Using Similarity Distillation
  ☆10Updated 2 years ago
• IandRover / MAML_noisy_contrasive_learner
  ☆17Updated 2 years ago
• nick11roberts / XD
  ☆11Updated 2 years ago
• sjoshi804 / sas-data-efficient-contrastive-learning
  Official Code for ICML 2023 Data-Efficient Contrastive Self-supervised Learning
  ☆32Updated last year
• dbolya / parc
  A benchmark suite for Scalable Diverse Model Selection for Accessible Transfer Learning from our NeurIPS 2021 paper.
  ☆15Updated 2 years ago
• isaaccorley / mlp-mixer-pytorch
  PyTorch implementation of "MLP-Mixer: An all-MLP Architecture for Vision" Tolstikhin et al. (2021)
  ☆30Updated 3 years ago
• salesforce / ensemble-of-averages
  ☆30Updated last week
• Nebularaid2000 / bottleneck
  PyTorch implementation of the paper "Discovering and Explaining the Representation Bottleneck of DNNs" (ICLR 2022 Oral)
  ☆38Updated 6 months ago
• boone891214 / MEST
  [NeurIPS‘2021] "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge", Geng Yuan, Xiaolong Ma, Yanzhi Wang et al…
  ☆18Updated 3 years ago
• csluchen / harsanyinet
  An interpretable network to compute the Shapley values in a single forward propagation.
  ☆16Updated last year
• kaidic / HAR
  [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
  ☆41Updated 4 years ago