DonkeyShot21 / essential-BYOLLinks
An essential implementation of BYOL in PyTorch + PyTorch Lightning
☆51Updated 4 years ago
Alternatives and similar repositories for essential-BYOL
Users that are interested in essential-BYOL are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆143Updated last year
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations☆89Updated 5 years ago
- A PyTorch converter for SimCLR checkpoints☆109Updated 4 years ago
- ☆142Updated 5 years ago
- PyTorch Implementations of Dropout Variants☆88Updated 7 years ago
- Benchmark for Lifelong learning research☆118Updated 4 years ago
- CVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!☆59Updated 2 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Evaluating AlexNet features at various depths☆40Updated 5 years ago
- ☆57Updated 3 years ago
- Implementation of Barlow Twins paper☆99Updated 3 years ago
- Addressing Failure Prediction by Learning Model Confidence☆173Updated 3 years ago
- REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999☆110Updated 3 years ago
- ☆70Updated 4 years ago
- [CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data☆112Updated 5 years ago
- Unofficial Pytorch code for "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" in NeurIPS'20. This repo co…☆191Updated 4 years ago
- ☆124Updated 3 years ago
- Understanding Training Dynamics of Deep ReLU Networks☆304Updated last month
- Differentiable Data Augmentation Library☆125Updated 3 years ago
- Implementation for the paper "Adversarial Continual Learning" in PyTorch.