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David Jiménez's Projects

bob.db.voxforge icon bob.db.voxforge

Voxforge Toy Database Interface for Bob - Mirrored from https://gitlab.idiap.ch/bob/bob.db.voxforge

cajamardatalab icon cajamardatalab

Hackaton creado por Cajamar y Microsoft. Realizado por el grupo de trabajo WorkingData, formado por Raúl Lopez, Francisco Javier Vílchez y David Jiménez.

data-science-ipython-notebooks icon data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deeplearntoolbox icon deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deepspeech icon deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

headlines icon headlines

Automatically generate headlines to short articles

imb-sampling-ros_and_rus icon imb-sampling-ros_and_rus

Spark implementations of two data sampling methods (random oversampling and random undersampling) for imbalanced classification datasets

libro icon libro

Repositorios de código para el libro "Introducción a Apache Spark para empezar a programar el Big Data"

python-for-data-scientist icon python-for-data-scientist

El presente repositorio pretende ofrecer ejercicios y teoría sobre el lenguaje de programación en Python orientado a las Ciencias de Datos. Cada apartado de este repositorio dispondrá del archivo .py con ejercicios como un archivo pdf donde se profundizará en el aspecto teórico.

spacy icon spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

tflearn icon tflearn

Deep learning library featuring a higher-level API for TensorFlow.

ucodebyadidas2017 icon ucodebyadidas2017

Hackaton en Zaragoza uCodeByadidas2017, realizado por el grupo de trabajo WorkingData, formado por Francisco Pérez, Francisco Javier Vílchez y David Jiménez.

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