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Welcome to my GitHub repo. I am a Data Scientist and I code in R, Python and Wolfram Mathematica. Here you will find some Machine Learning, Deep Learning, Natural Language Processing and Artificial Intelligence models I developed.

anomaly-detection deep-learning autoencoder keras keras-models denoising-autoencoders generative-adversarial-network glove keras-layer word2vec nlp natural-language-processing sentiment-analysis opencv segnet resnet-50 variational-autoencoder t-sne svm-classifier latent-dirichlet-allocationbabble-rnn is a research project in the use of machine learning to generate new speech by modelling human speech audio, without any intermediate text or word representations. The idea is to learn to speak through imitation, much like a baby might. The goal is to generate a babbling audio output that emulates the speech patterns of the original speaker, ideally incorporating real words into the output. The implementation is based on Keras / Theano, generating an LSTM RNN; and Codec 2, an open source speech audio compression algorithm. The resulting models have learned the most common audio sequences of a 'performer', and can generate a probable babbling audio sequence when provided a seed sequence.

keras keras-neural-networks jupyter-notebook keras-modelsYou can fix it by upgrading Tensorflow. The video captioning model here uses Mean Pooled ResNet50 features of video frames along with Object, Action and Attribute tags predicted by a simple feedforward network.

deep-learning computer-vision natural-language-processing keras keras-models deep-video-analytics video-captioning video-to-textThis is ready to use, end-to-end sample solution for the currently running Kaggle Cdiscount challenge. It involves data loading and augmentation, model training (many different architectures), ensembling and submit generator.

data-science machine-learning deep-learning kaggle kaggle-challenge neptune python3 keras keras-models keras-implementations competitionExamples and tutorials to the steppy library. Steppy is a lightweight, open-source, Python library for fast and reproducible experimentation.

pipeline data-science machine-learning deep-learning steps nlp reproducible-research reproducibility steppy tutorial steppy-library python3 keras keras-models keras-implementations pytorch pytorch-implmention pytorch-modelsSet of tools to make your work with Steppy faster and more effective. Steppy is a lightweight, open-source, Python library for fast and reproducible experimentation.

pipeline data-science machine-learning deep-learning steps nlp reproducible-research reproducibility steppy steppy-toolkit python3 keras tensorflow tensorflow-models keras-models pytorch pytorch-models open-source pipeline-frameworkGestureAI is a RNN(Recurrent Nerural network) model which recognize hand-gestures drawing 5 figures(Circl, Rectangle, Triangle, Cross and the other). This dataset of hand-motion drawing 5 figures is sequences of 3-axis accelerations captured by iPhone. Example to implement RNN in Keras gets 90.8% accuracy by Cross-validation. You can use direct links to download the dataset.

keras keras-tensorflow keras-models tensorflow python-2 rnn coreml ios deep-learning deep-neural-networks machine-learning recurrent-nerural-network demo datasetIn the Jupyter notebook for this repository, I begin by calculating the bottleneck features for the CIFAR-10 dataset. These features are then visualized with a Barnes-Hut implementation of t-SNE, which is the fastest t-SNE implementation to date.

keras keras-neural-networks keras-models keras-classification-models keras-visualization images image-classification classification classifier classification-algorithm cnn cnn-keras cnn-model cnn-architecture convolutional-neural-networks convolutional-networks tsne tsne-algorithm visualization transfer-learningThe original Matlab implementation and paper (for AlexNet, GoogLeNet, and VGG16) can be found here. A Keras implementation of VGG-CAM can be found here. This implementation is written in Keras and uses ResNet-50, which was not explored in the original paper.

keras cnn resnet-50 resnet localization cnn-keras cnn-model cnns localisation image-analysis classification image-classification keras-neural-networks keras-tensorflow keras-visualization keras-models keras-classification-modelsSee also the upcoming webinar (10 Oct 2018), in which we walk trough the code.

keras pytorch keras-tutorials pytorch-tutorials alien predator keras-neural-networks keras-models keras-classification-models pytorch-tutorial pytorch-cnn pytorch-implementationA set of models which allow easy creation of Keras models to be used for classification purposes. Also contains modules which offer implementations of recent papers. An implementation of "SparseNets" from the paper Sparsely Connected Convolutional Networks in Keras 2.0+.

residual-networks keras-models keras-classification-models deep-learning keras
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