maxbest

maxbest's Stars

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77.3k2.7k7.3k45.7k

• ej0cl6/deep-active-learning

  Deep Active Learning

  Language:Python8191515184

• hollobit/All-About-the-GAN

  All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

  Language:Python657463152

• jonbruner/generative-adversarial-networks

  Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

  Language:Jupyter Notebook537318250

• clvrai/SSGAN-Tensorflow

  A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

  Language:Python5142025169

• marc-gorriz/CEAL-Medical-Image-Segmentation

  Active Deep Learning for Medical Imaging Segmentation

  Language:Python27818773

• asiddhant/Active-NLP

  Bayesian Deep Active Learning for Natural Language Processing Tasks

  Language:Python14712929

• LDOUBLEV/semi-supervised-GAN

  There is the semi-supervised implement of 'Improved Techniques for Training GANs '

  Language:Python14591269

• Azure/active-learning-workshop

  Active Learning Workshop Materials

  Language:Jupyter Notebook11973048

• donlee90/icarl

  PyTorch Implementation of iCaRL

  Language:Python1096934

• orico/ActiveLearningFrameworkTutorial

  An active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy data-set.

  Language:Jupyter Notebook545023

• davefernig/alp

  active learning in python

  Language:Python35014

• markpwoodward/active_osl

  Code for "Active One-shot Learning"

  Language:Python33344

• edoliberty/frequent-directions

  Implements the frequent directions algorithm for approximating matrices in streams

  Language:Python3210012

• fahadm/Bayesian-Active-Learning-Pytorch

  Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Bayesian-Active-Learning/))

  Language:Jupyter Notebook31415

• rmunro/active_learning_imagenet

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

  Language:Python28304

• chengsoonong/digbeta

  Active learning for Big Data

  Language:Jupyter Notebook25612814

• yezhang-xiaofan/Active-Learning-for-Neural-Networks

  Tensorflow implementation of "EGL-word" method in AAAI 2017 paper "Active Discriminative Text Representation Learning"

  Language:Python23407

• frkl/active-learning

  Active learning for deep learning

  Language:Lua20726

• hoxmark/Deep_reinforcement_active_learning

  Deep Reinforcement Active learning - Master Thesis

  Language:Python18607

• gmum/mlls2015

  Active Learning experiments for Machine Learning in Life Sciences Workshop ECML 2015

  Language:Jupyter Notebook1661256

• rmunro/active_learning_class

  Code for class on Deep Active Learning and Annotation

  Language:Python15304

• AAAI2018submission/Adversarial_Active_Learning

  Adversarial Active Learning for Deep Networks

  Language:Python14317

• monitor1379/GenerativeAdversarialNetsPapers

  Papers, codes, slides and blogs about Generative Adversrial Nets.

  6403

• sujoyp/context-active-learning

  Non-Uniform Subset Selection for Active Learning in Structured Data

  Language:MATLAB6504

• mina-ghashami/frequentdirections

  Contains matrix sketching algorithms in C and Python

  Language:C4201

• maxbest/Action-Openwrt

  Language:Shell1100

• maxbest/lede

  Lean's OpenWrt source

  Language:C1100

• maxbest/Padavan-build

  Padavan 自动编译

  1100

• maxbest/Padavan-build-jcg860

  1200