Implementation of the simCLR framework using the forward-forward algorithm
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Updated
Mar 4, 2024 - Python
Implementation of the simCLR framework using the forward-forward algorithm
Fork of Official Implementation of Meta-Learning to Improve Pre-Training, NeurIPS'21 Poster. (https://arxiv.org/abs/2111.01754)
Finetuning and clustering library for image perceptual similarity models.
Self-Supervised Learning approach to learn contrasting representation between images.
Employ contrastive learning to enhance the ResNet-50 performace for skin lesion classification.
Implementation of the unsupervised SimCLR pre-training method.
Contrastive learning implementations using pyssl
SimCLR implementation in Julia
Re-implementation of Intriguing Properties of Contrastive Losses paper
PyTorch implementation of SimCLR: Simple Framework for Contrastive Learning of Visual Representations by Chen et al. (2020)
Official implementation of "Augmentation-aware Self-supervised Learning with Conditioned Projector"
A deep learning model that finds out dental malpractice from tooth x-ray images.
Contrastive learning for unsupervised clustering, Semester project Spring 2022
Official PyTorch implementation of Multimodal Transformer for Comics Text-Cloze
A python library for self-supervised learning
SimCLR implementation in PyTorch.
PyTorch Google Colab implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Review and Implement Paper of Self-supervised learning
[NeurIPS 2023 (Spotlight)] Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts
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