jayroxis / CKA-similarityLinks
An Numpy and PyTorch Implementation of CKA-similarity with CUDA support
☆94Updated 4 years ago
Alternatives and similar repositories for CKA-similarity
Users that are interested in CKA-similarity are comparing it to the libraries listed below
Sorting:
- Reproduce CKA: Similarity of Neural Network Representations Revisited☆311Updated 5 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆115Updated 2 years ago
- A PyTorch implementation of Centered Kernel Alignment (CKA) with GPU acceleration.☆56Updated last year
- ☆71Updated 2 years ago
- (Pytorch) Training ResNets on ImageNet-100 data☆63Updated 3 years ago
- Transformers trained on Tiny ImageNet☆58Updated 4 months ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆135Updated 2 years ago
- [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation☆75Updated 3 years ago
- ☆23Updated 2 years ago
- ☆40Updated 3 years ago
- ☆89Updated 2 years ago
- PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"☆68Updated 4 years ago
- ☆115Updated 2 years ago
- Reimplmentation of Visualizing the Loss Landscape of Neural Nets with PyTorch 1.8☆30Updated 3 years ago
- Code for coreset selection methods☆247Updated 2 years ago
- Compare neural networks by their feature similarity☆377Updated 2 years ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆126Updated 3 years ago
- [ICML 2023] On Pitfalls of Test-Time Adaptation☆124Updated last year
- This resposity maintains a collection of important papers on knowledge distillation (awesome-knowledge-distillation)).☆81Updated 9 months ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆103Updated 4 years ago
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆200Updated 2 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆47Updated 3 years ago
- "Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", ICLR 2020☆23Updated 3 years ago
- Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]☆30Updated last year
- Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"☆99Updated 4 years ago
- Efficient Dataset Distillation by Representative Matching☆113Updated last year
- This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆71Updated 2 years ago
- [ICLR 2022] "Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity" by Shiwei Liu,…☆27Updated 3 years ago
- Awesome coreset/core-set/subset/sample selection works.☆184Updated last year
- PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…☆203Updated last year