semi-supervised-learning

#计算机科学#Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

翻译 - 转移学习图书馆

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

#时序数据库#Algorithms for outlier, adversarial and drift detection

#自然语言处理#Unsupervised Data Augmentation (UDA)

翻译 - 无监督数据增强（UDA）

#计算机科学#FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

#自然语言处理#😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

#计算机科学#A state-of-the-art semi-supervised method for image recognition

#自然语言处理#A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

#计算机科学#A PyTorch-based library for semi-supervised learning (NeurIPS'21)

翻译 - 基于 PyTorch 的半监督学习库 (NeurIPS'21)

#计算机科学#A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

#计算机科学#Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

翻译 - 可训练的模型和NN优化工具

A contrastive learning based semi-supervised segmentation network for medical image segmentation

#计算机科学#Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

#计算机科学#Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

Semi-Supervised Learning, Object Detection, ICCV2021

翻译 - 半监督学习，目标检测，ICCV2021

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

Implementations of various VAE-based semi-supervised and generative models in PyTorch

#计算机科学#Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.