fauzhao Goto Github PK

activelearning

The code for active learning for pairwise constraints and relative comparisons

activelearning-1

Repo for CCCN 2016 project on active learning

adapgl-pytorch

aeelm

Subpixel Temperature Estimation by Information Transfer with Adaptive Ensemble Extreme Learning Machine (IT-AEELM)

agcrn

Adaptive Graph Convolutional Recurrent Network

aossdl

Active Learning combining Online Semi-Supervised Dictionary Learning

auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

awesome-mac

 Now we have become very big, Different from the original idea. Collect premium software in various categories.

bd-elm

BD-ELM: A Regularized Extreme Learning Machine Using Biased DropConnect and Biased Dropout

bidirectional-elm

biotrainee

blf

MATLAB code for mean field theory for sigmoid belief networks from my PhD thesis.

bmri

Propose a new active learning method by querying both the representative and informative samples for annotation

c6748

C6748 staterware

cae-elm

Convolutional Auto-encoder Extreme learning machine

chatgpt-mac

ChatGPT for Mac, living in your menubar.

clipy

Clipboard extension app for macOS.

cnsurvey

一份中文综述文章列表（自然语言处理&机器学习）

constrained-extreme-learning-machine

constrained extreme learning machine, IJCNN 2014

cop-kmeans

Matlab Implementation of COP-Kmeans

deep-cnn-word-recognition

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningbook-chinese

Deep Learning Book Chinese Translation

designers-learn-git

为设计师而作的GitHub的快速学习教程

dga

Dissolved Gas Analysis

elm-auto-encoder

elm-jec

This repo implements Extreme Learning Machine for Joint Embedding and Clustering, which is a clustering algorithm.

elm-matlab-and-online.sequential.elm

elm implement in matlab

engauge-digitizer

Extracts data points from images of graphs

esmc_implementation

Implementation of the paper "An Efficient (Large-scale) Semi-supervised Multi-label Classifier Capable of Handling Missing Labels".