Alternatives and similar repositories for MMC:

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

• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆60Updated last year
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• Ping-C / optimizer
  This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…
  ☆36Updated 2 years ago
• shoaibahmed / metadata_archaeology
  Official code for the paper: "Metadata Archaeology"
  ☆19Updated last year
• JonasGeiping / dataaugs
  ☆17Updated 2 years ago
• fKunstner / noise-sgd-adam-sign
  ☆16Updated 2 years ago
• gortizji / linearized-networks
  Source code of "What can linearized neural networks actually say about generalization?
  ☆20Updated 3 years ago
• activatedgeek / tight-pac-bayes
  Code for PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization, NeurIPS 2022
  ☆15Updated 2 years ago
• rahimentezari / PermutationInvariance
  ☆23Updated 2 years ago
• brendel-group / compositional-ood-generalization
  Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)
  ☆11Updated last year
• MadryLab / journey-TRAK
  Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"
  ☆22Updated last year
• PolinaKirichenko / deep_feature_reweighting
  ☆107Updated last year
• hankook / CLEL
  ☆15Updated 2 years ago
• stanislavfort / dissect-git-re-basin
  Replicating and dissecting the git-re-basin project in one-click-replication Colabs
  ☆36Updated 2 years ago
• formll / resolving-scaling-law-discrepancies
  ☆19Updated 9 months ago
• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆89Updated last year
• minyoungg / overparam
  ☆41Updated 2 years ago
• rtaori / data_feedback
  Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"
  ☆16Updated 2 years ago
• rahul13ramesh / compositional_capabilities
  Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
  ☆10Updated 10 months ago
• erosenfeld / disagree_discrep
  Provably (and non-vacuously) bounding test error of deep neural networks under distribution shift with unlabeled test data.
  ☆10Updated last year
• google-research / growneuron
  ☆54Updated 9 months ago
• pilancilab / Riemannian_Preconditioned_LoRA
  source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"
  ☆25Updated 10 months ago
• andrijazz / ash
  Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection
  ☆52Updated 8 months ago
• youranonymousefriend / plugininversion
  Official Implementation for PlugIn Inversion
  ☆16Updated 3 years ago
• stanislavfort / ensemble-everything-everywhere
  The code for the Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness paper
  ☆21Updated 6 months ago
• IBM / NeuronAlignment
  Codes for the paper "Optimizing Mode Connectivity via Neuron Alignment" from NeurIPS 2020.
  ☆16Updated 4 years ago
• locuslab / T-MARS
  Code for T-MARS data filtering
  ☆35Updated last year
• AhmedImtiazPrio / grok-adversarial
  Deep Networks Grok All the Time and Here is Why
  ☆34Updated 11 months ago
• gregorbachmann / scaling_mlps
  ☆51Updated 10 months ago
• MadryLab / dataset-interfaces
  Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
  ☆45Updated 2 years ago