numpee / CKA.pytorch
A PyTorch implementation of Centered Kernel Alignment (CKA) with GPU acceleration.
☆46Updated last year
Alternatives and similar repositories for CKA.pytorch
Users that are interested in CKA.pytorch are comparing it to the libraries listed below
Sorting:
- ☆63Updated last year
- Official Implementation of FedRCL (CVPR 2024)☆21Updated 11 months ago
- An Numpy and PyTorch Implementation of CKA-similarity with CUDA support☆90Updated 4 years ago
- Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".☆42Updated 10 months ago
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆77Updated 8 months ago
- ☆43Updated last year
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆119Updated last year
- List of papers that combine self-supervision and continual learning☆64Updated 2 months ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆97Updated 3 years ago
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆181Updated last year
- (Pytorch) Training ResNets on ImageNet-100 data☆57Updated 3 years ago
- ☆16Updated 8 months ago
- Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"☆111Updated last year
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆69Updated 2 years ago
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆77Updated last year
- Test-Time Adaptation via Conjugate Pseudo-Labels☆40Updated last year
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆112Updated last year
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆58Updated last year
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆47Updated 2 years ago
- PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"☆60Updated 3 years ago
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆83Updated last year
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆33Updated 10 months ago
- The official github repo for "Test-Time Training with Masked Autoencoders"☆82Updated last year
- The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"☆44Updated last year
- ☆39Updated 2 years ago
- [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning☆85Updated 7 months ago
- [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering☆47Updated last year
- 🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"☆25Updated 3 weeks ago
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆24Updated 2 years ago
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆21Updated last year