David Jiménez's repositories
deeplearning_cryptocurrencies
Predicting cryptocurrency prices with deep learning
AI_house_price_prediction
Applying artificial intelligence to real estate.
CajamarDatalab
Hackaton creado por Cajamar y Microsoft. Realizado por el grupo de trabajo WorkingData, formado por Raúl Lopez, Francisco Javier Vílchez y David Jiménez.
airbnb-data-collection
Data collection for Airbnb listings.
bob.db.voxforge
Voxforge Toy Database Interface for Bob - Mirrored from https://gitlab.idiap.ch/bob/bob.db.voxforge
cheatsheet-translation
Translation of VIP cheatsheets https://stanford.edu/~shervine/teaching/cs-229.html
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.
datacamp-community-tutorials
Tutorials for DataCamp (www.datacamp.com)
distil-whisper
Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.
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
A TensorFlow implementation of Baidu's DeepSpeech architecture
DeepTraffic-solution
My solution to dieeptraffic contest
face2face-demo
This is the accompanying code for the Medium article:
Imb-sampling-ROS_and_RUS
Spark implementations of two data sampling methods (random oversampling and random undersampling) for imbalanced classification datasets
KaggleDogBreedChallenge
Binary Problem of Golden Retrievers vs. Shetland Sheepdogs
notas-corte-AND
Notas de corte de Andalucía
pyspark-guide-setup
A guide for setting up Spark + PySpark under Ubuntu linux
pyspark-setup-guide
A guide for setting up Spark + PySpark under Ubuntu linux
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.
R-Tutorials
Code from the r tutorial on my blog
spaCy
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
telegrambot4s
Telegram Bot API Wrapper for Scala
tensorflow-speech-recognition
🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks
uCodeByadidas2017
Hackaton en Zaragoza uCodeByadidas2017, realizado por el grupo de trabajo WorkingData, formado por Francisco Pérez, Francisco Javier Vílchez y David Jiménez.
udacity-deep-learning
Udacity Deep Learning MOOC assignments
UniversityHack-2018-Cajamar
Desarrollo de la solución que nos permitió conseguir el primer premio del Datathon Cajamar UniversityHack 2018.