noranta4 / ASIFLinks
Personal implementation of ASIF by Antonio Norelli
☆26Updated last year
Alternatives and similar repositories for ASIF
Users that are interested in ASIF are comparing it to the libraries listed below
Sorting:
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"☆55Updated last year
- Recycling diverse models☆46Updated 2 years ago
- Natural Language Descriptions of Deep Visual Features, ICLR 2022☆64Updated 2 years ago
- [NeurIPS'24] Official PyTorch implementation for paper "Knowledge Composition using Task Vectors with Learned Anisotropic Scaling"☆26Updated 8 months ago
- Official repo for the paper "Bilinear MLPs enable weight-based mechanistic interpretability".☆24Updated 3 months ago
- PyTorch library for Active Fine-Tuning☆95Updated last month
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆51Updated last year
- Latest Weight Averaging (NeurIPS HITY 2022)☆31Updated 2 years ago
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆70Updated 2 years ago
- Sparse and discrete interpretability tool for neural networks☆64Updated last year
- Implementation of Discrete Key / Value Bottleneck, in Pytorch☆88Updated 2 years ago
- ☆46Updated 2 years ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆90Updated 2 years ago
- ☆52Updated last year
- ☆110Updated 9 months ago
- Patching open-vocabulary models by interpolating weights☆91Updated 2 years ago
- Code for the "Overcoming Sparsity Artifacts in Crosscoders to Interpret Chat-Tuning" paper.☆14Updated last month
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆40Updated 2 years ago
- ☆53Updated 10 months ago
- Replicating and dissecting the git-re-basin project in one-click-replication Colabs☆35Updated 3 years ago
- What do we learn from inverting CLIP models?☆56Updated last year
- 👋 Overcomplete is a Vision-based SAE Toolbox☆101Updated 2 weeks ago
- Code for the paper: "No Zero-Shot Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance" [NeurI…☆92Updated last year
- Holistic evaluation of multimodal foundation models☆47Updated last year
- Implementation of the BatchTopK activation function for training sparse autoencoders (SAEs)☆55Updated 3 months ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated 2 years ago
- ☆109Updated 2 years ago
- Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]☆68Updated last year
- Uncertainty-aware representation learning (URL) benchmark☆105Updated 8 months ago