Alternatives and similar repositories for SmeLU:

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

• dlmacedo / distinction-maximization-loss
  A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…
  ☆45Updated 2 years ago
• jiaweizzhao / ZerO-initialization
  ☆73Updated 2 years ago
• shivram1987 / ActivationFunctions
  ☆50Updated 2 years ago
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆44Updated 2 years ago
• reddragon / efficient-dl-survey-paper
  Efficient Deep Learning Survey Paper
  ☆33Updated 2 years ago
• VirtuosoResearch / Regularized-Self-Labeling
  A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models
  ☆28Updated 2 years ago
• IBM / concept_transformer
  Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"
  ☆40Updated 2 years ago
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆30Updated 2 years ago
• js-d / sim_metric
  ☆35Updated last year
• locuslab / orthogonal-convolutions
  Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
  ☆44Updated 4 years ago
• lucidrains / tableformer-pytorch
  Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch
  ☆37Updated 3 years ago
• HazyResearch / augmentation_code
  Reproducible code for Augmentation paper
  ☆17Updated 6 years ago
• lavoiems / simplicial-embeddings
  solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
  ☆23Updated 2 years ago
• ondrejbohdal / meta-calibration
  Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"
  ☆34Updated last year
• nick11roberts / XD
  ☆11Updated 2 years ago
• dlmacedo / entropic-out-of-distribution-detection
  A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Pe…
  ☆75Updated 2 years ago
• team-approx-bayes / bayesian-sam
  Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.
  ☆25Updated last year
• BorealisAI / ssl-for-timeseries
  Self Supervised Learning for Time Series Using Similarity Distillation
  ☆10Updated 2 years ago
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆60Updated last year
• jlko / active-testing
  Active and Sample-Efficient Model Evaluation
  ☆24Updated 4 years ago
• aakashrkaku / intermdiate_layer_matter_ssl
  The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.
  ☆40Updated 3 years ago
• ravidziv / SimplifyingImbalancedTraining
  ☆8Updated last year
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆30Updated last year
• jamestszhim / modals
  MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space
  ☆40Updated 4 years ago
• ml-jku / quam
  Quantification of Uncertainty with Adversarial Models
  ☆28Updated last year
• mariushobbhahn / LB_for_BNNs_official
  Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…
  ☆12Updated 2 years ago
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆34Updated last year
• YilunZhou / optimal-active-learning
  Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"
  ☆15Updated 4 years ago
• hankyul2 / DomainAdaptation
  Domain Adaptation
  ☆23Updated 3 years ago
• AaltoML / PeriodicBNN
  Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
  ☆18Updated 3 years ago