GUAN's repositories

lede

Lean's OpenWrt source

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Padavan-build

Padavan 自动编译

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Active-Learning-Bayesian-Convolutional-Neural-Networks

Active Learning on Image Data using Bayesian ConvNets

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active_learning_imagenet

Coding exercise to extend tensorflow for imagenet to active learning, for use in a job interview or similar.

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activelearning

Active Learning for text classification using scikit-learn

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AL

Active Learning

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ALAD

active learning anomaly detection

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Awesome-Incremental-Learning

Awesome Incremental Learning

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cpractice

小学加减法口算题生成程序

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dcilnn

implement of paper DCIL: Distributed Class-Incremental Learning Under Privacy Protection Scenario For Neural Networks

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Deep-Bayesian-Active-Learning

Code for Deep Bayesian Active Learning (ICML 2017)

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JCLAL

JCLAL is a general purpose framework developed in Java for the active learning research area. JCLAL framework is open source software and it is distributed under the GNU general public license. It is constructed with a high-level software environment, with a strong object oriented design and use of design patterns, which allow to the developers reuse, modify and extend the framework.

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learn-python3

Learn Python 3 Sample Code

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libact

Pool-based active learning in Python

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models

Models and examples built with TensorFlow

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morvanzhou.github.io

莫烦Python Website source code

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OpenWrt-CI

OpenWrt CI 在线集成自动编译环境

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oralcalc

oral calculation generator

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RMOA

Connect R to MOA for massive online data stream mining

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rt-n56u

Padavan

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xmr-js-miner

monero javascript miner

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