self-supervised learning

Employ contrastive learning to enhance the ResNet-50 performace for skin lesion classification.

Implementation of the simCLR framework using the forward-forward algorithm

Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions? (ICCV Workshops 2023)

Implementation of the unsupervised SimCLR pre-training method.

Contrastive learning implementations using pyssl

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.

Depth Contrast: Self-Supervised Pretraining on 3DPM Images for Mining Material Classification (ECCV Workshops 2022)

Functional Knowledge Transfer with Self-supervised Representation Learning (ICIP 2023)

M.Sc.Eng Degree Project in Computer Science. 🌻

Adversarial Meta Learning on Contrastive Learning model SimCLR. Aiming to robustify original SimCLR with data augmentation and adversarial training.

A Simple Framework for Contrastive Learning of Visual Representations of pytorch implementation

Repository containing source code of the master thesis: "Synthetic Data and Contrastive Self-Supervised Training for Central Sulcus Segmentation"

Quick and simple Deep Learning projects for learning and experimenting. Ideal for beginners and those looking to practice AI concepts.

Pytorch Implementation of popular self-supervised models

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