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SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks

kotlin machine-learning natural-language-processing neural-network recurrent-neural-networks artificial-intelligence feedforward-neural-network attention-mechanism

Updated Jun 18, 2020
Kotlin

Ritvik19 / pyradox

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State of the Art Neural Networks for Deep Learning

deep-neural-networks deep-learning python3 recurrent-neural-networks neural-networks artificial-neural-networks feedforward-neural-network convolutional-neural-networks tensorflow2

Updated Nov 27, 2021
Python

MichaelJWelsh / yannl

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Yet another neural network library

c-plus-plus neural-network portable c-plus-plus-11 matrix regression classification artificial-neural-networks blas feedforward-neural-network callbacks cblas

Updated Sep 25, 2017
C++

mravanelli / pytorch_MLP_for_ASR

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This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and decoding are performed with Kaldi. The current implementation supports dropout and batch normalization. An example for phoneme recognition using the standard TIMIT dataset is provided.

python deep-neural-networks deep-learning cuda pytorch speech-recognition neural-networks feedforward-neural-network mlp kaldi asr timit multilayer-perceptron kaldi-asr

Updated Feb 10, 2018
Perl

srohit0 / mida

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Selected problems and their solutions from the book on "Machine Intelligence in Design Automation"

machine-learning deep-neural-networks deep-learning neural-network machine-learning-algorithms artificial-intelligence artificial-neural-networks logistic-regression feedforward-neural-network polynomial-regression vlsi machine-intelligence design-automation electronic-design-automation vlsi-circuits vlsi-design vlsi-machine-learning vlsi-deep-learning

Updated Dec 9, 2018
Jupyter Notebook

donghyeonk / fastText1607

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Unofficial Implementation of "Bag of Tricks for Efficient Text Classification", 2016, Armand Joulin et al. (https://arxiv.org/pdf/1607.01759.pdf)

pytorch feedforward-neural-network fasttext bag-of-ngrams

Updated Aug 20, 2019
Python

yunchuankong / GEDFN

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GEDFN: Graph-Embedded Deep Feedforward Network

bioinformatics deep-neural-networks deep-learning tensorflow gene-expression feature-selection classification feedforward-neural-network network-analysis

Updated Apr 23, 2019
Python

okozelsk / NET

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Reservoir computing library for .NET. Enables ESN , LSM and hybrid RNNs using analog and spiking neurons working together.

machine-learning deep-learning csharp regression prediction recurrent-neural-networks classification machine-learning-library feedforward-neural-network spiking-neural-networks echo-state-networks dotnet-standard reservoir-computing multiclass-classification time-series-classification liquid-state-machines time-series-forecasting activation-functions

Updated Aug 7, 2021
C#

islem-esi / DeepMalwareDetector

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A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.

machine-learning deep-learning cnn python3 recurrent-neural-networks feature-extraction lstm neural-networks rnn feedforward-neural-network convolutional-neural-networks yara sae malware-detection fnn

Updated Jul 4, 2020
Python

becxer / pytrain

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Machine Learning library for python

python machine-learning hmm neural-network clustering numpy svm naive-bayes crf linear-regression logistic-regression pattern-recognition feedforward-neural-network kmeans apriori decision-trees knn dbscan

Updated Jun 12, 2017
Python

mvrahden / recurrent-js

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[INACTIVE] Amazingly simple to build and train various neural networks. The library is an object-oriented neural network approach (baked with Typescript), containing stateless and stateful neural network architectures.

npm typescript ai deep-learning neural-network graph deep-reinforcement-learning dnn recurrent-neural-networks bayesian-network artificial-intelligence lstm rnn artificial-neural-networks feedforward-neural-network backpropagation recurrent-js

Updated Jul 7, 2018
TypeScript

goessl / NeuralNetwork

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Very basic neural network implementation.

java machine-learning ai neural-network optimization machine-learning-algorithms artificial-intelligence java8 neural-networks java-8 derivatives machinelearning feedforward-neural-network weight weights propagation neuralnetwork neural-nets neuralnetworks activationfunction

Updated Sep 13, 2019
Java

nipunmanral / MLP-Training-For-MNIST-Classification

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Multilayer perceptron deep neural network with feedforward and back-propagation for MNIST image classification using NumPy

deep-learning neural-networks mnist-classification feedforward-neural-network backpropagation multilayer-perceptron

Updated Jul 14, 2019
Python

akanshajainn / Sentiment-Analysis-Twitter-word2vec-keras

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A tweet sentiment classifier using word2vec and Keras. This Keras model can be saved and used on other tweet data, like streaming data extracted through the tweepy API.

nlp twitter deep-learning sentiment-analysis word2vec keras feedforward-neural-network