nik-dim / sequel
A Continual Learning Library in PyTorch and JAX
☆14Updated 2 years ago
Alternatives and similar repositories for sequel
Users that are interested in sequel are comparing it to the libraries listed below
Sorting:
- ☆26Updated 3 years ago
- IIRC: Incremental Implicitly Refined Classification☆30Updated 2 years ago
- Codebase used in the paper "Foundational Models for Continual Learning: An Empirical Study of Latent Replay".☆30Updated 2 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch☆75Updated 2 years ago
- ☆26Updated last year
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆47Updated last year
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)☆109Updated 2 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆36Updated last year
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆40Updated 2 years ago
- This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.☆11Updated 3 years ago
- Training vision models with full-batch gradient descent and regularization☆37Updated 2 years ago
- ☆107Updated last year
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 3 years ago
- Codebase for the paper titled "Continual learning with local module selection"☆25Updated 3 years ago
- Codes for the paper "Optimizing Mode Connectivity via Neuron Alignment" from NeurIPS 2020.☆16Updated 4 years ago
- ☆34Updated last year
- ☆40Updated 2 years ago
- Host CIFAR-10.2 Data Set☆13Updated 3 years ago
- The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier…☆32Updated 4 years ago
- Model Zoos for Continual Learning (ICLR 22)☆45Updated last year
- Official implementation of paper Gradient Matching for Domain Generalization☆121Updated 3 years ago
- ☆38Updated 6 months ago
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆31Updated 3 years ago
- Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]☆28Updated last year
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"☆22Updated last year
- Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"☆24Updated last year
- ☆45Updated 2 years ago
- LISA for ICML 2022☆49Updated 2 years ago