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deep-neural-network

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Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.

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nni

microsoft / nni

Star 12.6k

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

python data-science machine-learning deep-learning neural-network tensorflow machine-learning-algorithms pytorch distributed hyperparameter-optimization feature-engineering nas bayesian-optimization hyperparameter-tuning automl automated-machine-learning model-compression neural-architecture-search deep-neural-network mlops
  • Updated Mar 6, 2023
  • Python

kk7nc / Text_Classification

Star 1.7k

Text Classification Algorithms: A Survey

deep-learning random-forest text-classification recurrent-neural-networks naive-bayes-classifier dimensionality-reduction logistic-regression document-classification convolutional-neural-networks text-processing decision-trees boosting-algorithms support-vector-machines hierarchical-attention-networks nlp-machine-learning conditional-random-fields k-nearest-neighbours deep-belief-network rocchio-algorithm deep-neural-network
  • Updated Nov 14, 2022
  • Python

FanzhenLiu / Awesome-Deep-Community-Detection

Star 279

Deep and conventional community detection related papers, implementations, datasets, and tools. Welcome to contribute to this repository by following the {instruction_for_contribution.pdf} file.

data-mining awesome deep-learning community-detection survey network-embedding graph-clustering graph-embedding deep-neural-network graph-neural-networks network-representation-learning graph-neural-network
  • Updated Oct 30, 2022
Splitter

benedekrozemberczki / Splitter

Sponsor
Star 200

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

machine-learning deep-learning clustering word2vec community-detection pytorch deepwalk gensim factorization network-embedding node2vec graph-embedding overlapping-community-detection deep-neural-network graph-representation-learning node-embedding implicit-factorization graph-neural-network ego-splitting word-vector
  • Updated Nov 6, 2022
  • Python
WB_color_augmenter

mahmoudnafifi / WB_color_augmenter

Star 147

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

computer-vision deep-learning cnn image-classification deeplearning semantic-segmentation data-augmentation image-augmentation color-correction whitebalance deep-neural-network white-balance color-constancy iccv19 iccv2019 color-augmentation
  • Updated Feb 25, 2023
  • MATLAB

lucylow / Deep-Learning-Mahjong---

Sponsor
Star 53

Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states

nlp markov-model mahjong reinforcement-learning computer-vision reactjs tensorflow game-development markov-chain supervised-learning game-theory deep-q-network reinforcement softmax supervised-machine-learning npc-generator deep-neural-network deep-learning-mahjong battle-mahjong game-play
  • Updated Aug 24, 2022
  • JavaScript
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