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Acoustic-word-embeddings-speech2vec-
Acoustic-word-embeddings-speech2vec- PublicA Seq2Seq LSTM Encoder-Decoder framework that borrows the methodology of skipgram and continuous bag-of-words from Word2vec to learn contextual word embedding directly from speech data.
Jupyter Notebook 6
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GPLVM-and-PCA
GPLVM-and-PCA PublicImplementation of dimensionality reduction technique called Gaussian Process Latent Variable Model and comparison with PCA, kernel PCA, MDS, t SNE on Oilflow,Vowels ,HAR UCI ,Wine UCI ,USPS Digits …
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Probabilistic-Graphical-Models-Applications
Probabilistic-Graphical-Models-Applications PublicImplementations of PGM in ML - Bayes Net, VI and Seq MCMC , SLAM, MCMC, Message Passing , LDA for topic clustering , VI for GMM
Python 1
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Parallel-Computations-Using-MPI
Parallel-Computations-Using-MPI PublicParallel implementation of Mandelbrot, Gauss Seidal iterations, Bitonic sort and Odd Even sort using MPI in C.
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Speech-and-Speaker-Recognition-ASR
Speech-and-Speaker-Recognition-ASR PublicAudio feature extraction , Hidden Markov Models with Gaussian Emissions for ASR , Phoneme Recognition with Deep Neural Networks
Jupyter Notebook 1
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Image-Feature-Extraction-and-Matching-
Image-Feature-Extraction-and-Matching- PublicImage Feature detection using SIFT , SURF. Feature matching and performance evaluation with change in Rotation and Scale of image.
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