DonkeyShot21 / essential-BYOL
An essential implementation of BYOL in PyTorch + PyTorch Lightning
☆51Updated 3 years ago
Alternatives and similar repositories for essential-BYOL:
Users that are interested in essential-BYOL are comparing it to the libraries listed below
- ☆58Updated 3 years ago
- Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations☆89Updated 4 years ago
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆142Updated last year
- A PyTorch converter for SimCLR checkpoints☆109Updated 4 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- Whitening for Self-Supervised Representation Learning | Official repository☆130Updated 2 years ago
- Another Domain Adaptation library, aimed at researchers.☆98Updated last month
- Implementation of Barlow Twins paper☆99Updated 2 years ago
- Evaluating AlexNet features at various depths☆39Updated 4 years ago
- ☆66Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆160Updated last year
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆94Updated 5 years ago
- ☆24Updated 2 years ago
- Benchmark for Lifelong learning research☆119Updated 3 years ago
- ☆129Updated 2 years ago
- A PyTorch reproduction of 'A Simple Framework for Contrastive Learning of Visual Representations' by Ting Chen, et al.☆47Updated 10 months ago
- Regularizing Meta-Learning via Gradient Dropout☆53Updated 5 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆121Updated 3 years ago
- Repository providing a wide range of self-supervised pretrained models for computer vision tasks.☆61Updated 4 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆71Updated 4 years ago
- ☆92Updated 4 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity☆31Updated last year
- Addressing Failure Prediction by Learning Model Confidence☆171Updated 2 years ago
- ☆46Updated 4 years ago
- Hyperspherical Prototype Networks☆66Updated 4 years ago
- Memory efficient MAML using gradient checkpointing☆84Updated 5 years ago
- [ICLR 2021] Concept Learners for Few-Shot Learning☆115Updated last year
- A library for evaluating representations.☆76Updated 3 years ago