Alternatives and similar repositories for ASIF

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

• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆31Updated 2 years ago
• oripress / EntropyEnigma
  Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"
  ☆53Updated last year
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆45Updated 2 years ago
• YanNeu / spurious_imagenet
  Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet
  ☆32Updated 2 years ago
• fredzzhang / atlas
  [NeurIPS'24] Official PyTorch implementation for paper "Knowledge Composition using Task Vectors with Learned Anisotropic Scaling"
  ☆25Updated 7 months ago
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆63Updated last year
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• evandez / neuron-descriptions
  Natural Language Descriptions of Deep Visual Features, ICLR 2022
  ☆65Updated 2 years ago
• mlfoundations / patching
  Patching open-vocabulary models by interpolating weights
  ☆91Updated 2 years ago
• stanislavfort / dissect-git-re-basin
  Replicating and dissecting the git-re-basin project in one-click-replication Colabs
  ☆35Updated 3 years ago
• bartbussmann / BatchTopK
  Implementation of the BatchTopK activation function for training sparse autoencoders (SAEs)
  ☆50Updated 2 months ago
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆31Updated 2 years ago
• tdooms / bilinear-decomposition
  Official repo for the paper "Weight-based Decomposition: A Case for Bilinear MLPs"
  ☆23Updated 2 months ago
• AnanyaKumar / transfer_learning
  Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…
  ☆151Updated 2 years ago
• izmailovpavel / spurious_feature_learning
  ☆46Updated 2 years ago
• bethgelab / frequency_determines_performance
  Code for the paper: "No Zero-Shot Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance" [NeurI…
  ☆90Updated last year
• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆89Updated 2 years ago
• ExplainableML / fomo_in_flux
  Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]
  ☆58Updated 10 months ago
• hamidkazemi22 / CLIPInversion
  What do we learn from inverting CLIP models?
  ☆55Updated last year
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆59Updated 2 years ago
• gregorbachmann / scaling_mlps
  ☆52Updated last year
• locuslab / T-MARS
  Code for T-MARS data filtering
  ☆35Updated 2 years ago
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆41Updated 2 years ago
• uclaml / PDE
  Official repo of Progressive Data Expansion: data, code and evaluation
  ☆29Updated last year
• jonhue / activeft
  PyTorch library for Active Fine-Tuning
  ☆93Updated 2 weeks ago
• mkirchhof / Probabilistic_Contrastive_Learning
  This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…
  ☆42Updated 2 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆109Updated 2 years ago
• KellerJordan / REPAIR
  Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair
  ☆50Updated last year
• andrijazz / ash
  Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection
  ☆54Updated last year
• MadryLab / failure-directions
  Distilling Model Failures as Directions in Latent Space
  ☆47Updated 2 years ago