Unsupervised Feature Learning and Deep Learning Tutorial
GitHub - rasmusbergpalm/DeepLearnToolbox: Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Deep Learning
Computer Vision Research Groups
Serge Belongie at UC San Diego
Antonio Torralba at MIT
Alexei Ffros at CMU
Ce Liu at Microsoft Research New England
Vittorio Ferrari at Univ.of Edinburgh
Kristen Grauman at UT Austin
Devi Parikh at TTI-Chicago (Marr Prize at ICCV2011)
John Wright at Columbia Univ.
Piotr Dollar at CalTech
Boris Babenko at UC San Diego
David Ross at Google/Youtube
David Donoho at Stanford Univ.
William T. Freeman at MIT
Roberto Cipolla at Cambridge
David Lowe at Univ. of British Columbia
Mubarak Shah at Univ. of Central Florida
Yi Ma at MSRA
Tinne Tuytelaars at K.U. Leuven
Trevor Darrell at U.C. Berkeley
Michael J. Black at Brown Univ.
mloss | All entries
Browse the State-of-the-Art in Machine Learning | Papers With Code
公开数据集下载,优质机器学习数据集,图像识别、NLP免费获取 | 格物钛,非结构化数据平台 数据集列表 | 伯乐
Computer Vision Datasets
图像标注:labelme,LabelImg,Labelbox,RectLabel,CVAT,VIA 半自动ocr
标注:PPOCRLabel
NLP标注工具:labelstudio pytorch代码和论文结合注释: labml.ai Annotated PyTorch Paper Implementations
https://www.cnblogs.com/kshenf/archive/2012/02/07/2342034.html