The code for "Text-to-image synthesis with self-supervised learning"
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Updated
Jun 17, 2023 - Python
The code for "Text-to-image synthesis with self-supervised learning"
Multimodal Self-Supervised Learning for Autonomous Situation Awareness of Unmanned Systems
PyTorch implementation for Self-supervised Modal and View Invariant Feature Learning
Medical application using Self-supervised Learning
A custom Python implementation of YOLOv5 algorithm.
Learning a common representation space from speech and text for cross-modal retrieval given textual queries and speech files.
Task:Image classification. SOTA Rank #3 (87.1% top-1 accuracy -July 2022). Self-supervised and then fine-tuned. Current (July 2022) supervised SOTA for image classification is 91%
A python library for self-supervised learning on images.
Simple library management tool created for educational purposes
Official repository for the paper "Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution." This repository houses the implementation of the proposed solution, providing a self-supervised tri-domain approach for effective time series anomaly detection.
A library built upon PyTorch for building embeddings on discrete event sequences using self-supervision
Reproducible material for A self-supervised learning framework for seismic low-frequency extrapolation
Implementation of the simCLR framework using the forward-forward algorithm
Reproducing the SCARF framework with PyTorch
Implementation for ICLR 2023 paper “Your Contrastive Learning is Secretly Doing Stochastic Neighbor Embedding” (https://arxiv.org/abs/2205.14814)
Pytorch code for DINO(emerging properties of vision transformers)
Self-supervised backbone pretraining on Mini-Imagenet
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