#计算机科学#Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
翻译 - Everything about Transfer Learning and Domain Adaptation--迁移学习
PaddleSpeech 是基于飞桨 PaddlePaddle 的语音方向的开源模型库,用于语音和音频中的各种关键任务的开发,典型的应用包括:语音识别、语音翻译、语音合成等
#计算机科学#The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
翻译 - 在应用程序中使用深度度量学习的最简单方法。模块化,灵活和可扩展。写在PyTorch中。
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
翻译 - SimCLRv2-大型自我监督模型是强大的半监督学习者
#计算机科学#OpenMMLab Pre-training Toolbox and Benchmark
翻译 - OpenMMLab图像分类工具箱和基准
#计算机科学#A python library for self-supervised learning on images.
翻译 - 用于自我监督学习的python库。
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
翻译 - 自我监督学习工具箱和基准
Self-Supervised Speech Pre-training and Representation Learning Toolkit
翻译 - 自我监督的语音预训练和表征学习工具包。
#计算机科学#An unsupervised learning framework for depth and ego-motion estimation from monocular videos
#计算机科学#A library for graph deep learning research
翻译 - 图深度学习研究库
An all-in-one toolkit for computer vision
#计算机科学#Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
#计算机科学#Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
#计算机科学#The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
A Semantic Controllable Self-Supervised Learning Framework to learn general human representations from massive unlabeled human images, which can benefit downstream human-centric tasks to the maximum e...
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
#计算机科学#Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
#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)