facebookresearch / luckmatters
Understanding Training Dynamics of Deep ReLU Networks
☆284Updated last month
Alternatives and similar repositories for luckmatters:
Users that are interested in luckmatters are comparing it to the libraries listed below
- ☆320Updated last month
- A PyTorch converter for SimCLR checkpoints☆109Updated 4 years ago
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆263Updated 3 years ago
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆401Updated 4 years ago
- Meta-Learning with Warped Gradient Descent☆93Updated 4 years ago
- NeurIPS 2020, Debiased Contrastive Learning☆282Updated last year
- ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."☆118Updated last year
- Whitening for Self-Supervised Representation Learning | Official repository☆129Updated 2 years ago
- Implementation for the paper "Adversarial Continual Learning" in PyTorch.☆254Updated last year
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆420Updated 2 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆268Updated 2 years ago
- PyTorch Implementation of Contrastive Predictive Coding for image recognition, based on research papers https://arxiv.org/abs/1807.03748 …☆82Updated 5 years ago
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆142Updated 10 months ago
- A LARS implementation in PyTorch☆342Updated 5 years ago
- Code and model definition for converting the official BYOL weights to PyTorch☆32Updated 3 years ago
- ☆140Updated 4 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆201Updated 7 months ago
- Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"☆183Updated last year
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆139Updated 5 years ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆285Updated last year
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆585Updated 3 years ago
- Benchmark for Lifelong learning research☆119Updated 3 years ago
- PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP☆81Updated 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 3 years ago
- Reparameterize your PyTorch modules☆70Updated 4 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆125Updated last year
- Official implementation of paper Gradient Matching for Domain Generalization☆119Updated 3 years ago
- Disentanglement library for PyTorch☆276Updated 2 years ago
- Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)☆538Updated 7 months ago
- A new test set for ImageNet☆248Updated last year