facebookresearch / luckmatters
Understanding Training Dynamics of Deep ReLU Networks
☆291Updated 3 months ago
Alternatives and similar repositories for luckmatters:
Users that are interested in luckmatters are comparing it to the libraries listed below
- ☆325Updated 2 weeks ago
- NeurIPS 2020, Debiased Contrastive Learning☆282Updated 2 years ago
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆400Updated 4 years ago
- A PyTorch converter for SimCLR checkpoints☆109Updated 4 years ago
- Implementation for the paper "Adversarial Continual Learning" in PyTorch.☆254Updated last year
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆264Updated 3 years ago
- A Pytorch-Lightning implementation of self-supervised algorithms☆538Updated 3 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆423Updated 2 years ago
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)☆109Updated 2 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆125Updated last year
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆270Updated 2 years ago
- Implementation of Slot Attention from GoogleAI☆426Updated 8 months ago
- PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP☆81Updated 4 years ago
- Whitening for Self-Supervised Representation Learning | Official repository☆130Updated 2 years ago
- Implementation of Barlow Twins paper☆99Updated 2 years ago
- Benchmark for Lifelong learning research☆119Updated 3 years ago
- Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural N…☆303Updated 4 years ago
- An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up proc…☆193Updated 4 years ago
- Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"☆183Updated last year
- Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)☆541Updated 9 months ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆285Updated 2 years ago
- Meta-Learning with Warped Gradient Descent☆93Updated 4 years ago
- Train ImageNet *fast* in 500 lines of code with FFCV☆142Updated 11 months ago
- Disentanglement library for PyTorch☆276Updated 3 years ago
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆142Updated last year
- ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."☆118Updated last year
- Code for "Supermasks in Superposition"☆123Updated last year
- Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)☆347Updated 3 weeks ago
- A LARS implementation in PyTorch☆345Updated 5 years ago
- Official Pytorch's implementation of RotoGrad☆76Updated last year