Alternatives and similar repositories for InstaAug

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

• YannDubs / Mini_Decodable_Information_Bottleneck
  Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.
  ☆11Updated 5 years ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆46Updated 2 years ago
• tsb0601 / MultiMon
  ☆25Updated 2 years ago
• shwinshaker / LipGrow
  An adaptive training algorithm for residual network
  ☆17Updated 5 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆62Updated 3 years ago
• ermongroup / fast_feedforward_computation
  Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
  ☆28Updated 4 years ago
• minyoungg / overparam
  ☆42Updated 2 years ago
• wy1iu / OPT
  Implementation for <Orthogonal Over-Parameterized Training> in CVPR'21.
  ☆22Updated 4 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆35Updated 2 years ago
• bfshi / VARS
  Official code for `Visual Attention Emerges from Recurrent Sparse Reconstruction' (ICML 2022)
  ☆36Updated 3 years ago
• AllanYangZhou / generative-invariance-transfer
  ☆26Updated 3 years ago
• JonasGeiping / dataaugs
  ☆18Updated 3 years ago
• MadryLab / dataset-interfaces
  Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
  ☆45Updated 2 years ago
• Optimization-AI / SogCLR
  Stochastic Optimization for Global Contrastive Learning without Large Mini-batches
  ☆20Updated 2 years ago
• allenai / ViRB
  Visual Representation Learning Benchmark for Self-Supervised Models
  ☆35Updated last year
• a7b23 / H-Divergence
  ☆21Updated 3 years ago
• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆90Updated 2 years ago
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆31Updated 2 years ago
• rgeirhos / dataset-pruning-metrics
  Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
  ☆57Updated 2 years ago
• modestyachts / ImageNetV2_pytorch
  ImageNetV2 Pytorch Dataset
  ☆42Updated 2 years ago
• iamalexkorotin / Wasserstein2Barycenters
  PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)
  ☆24Updated 3 years ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated 2 years ago
• locuslab / T-MARS
  Code for T-MARS data filtering
  ☆35Updated 2 years ago
• facebookresearch / SIE
  Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations
  ☆30Updated 2 years ago
• google-research / understanding-curricula
  ☆34Updated 5 months ago
• justkolesov / Wasserstein1Benchmark
  A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).
  ☆21Updated last year
• RobertCsordas / linear_layer_as_attention
  The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …
  ☆16Updated 5 months ago
• mwalmer-umd / vit_analysis
  ☆35Updated 2 years ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆36Updated 4 years ago
• EPFL-VILAB / XDEnsembles
  Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]
  ☆39Updated 4 years ago