100 / Cranium

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

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

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

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

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

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 Nov 3, 2020
C#

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

Updated Oct 27, 2020
Jupyter Notebook

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

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.