Juan Jose Aranda's Projects
Artificial Intelligence By Example, published by Packt
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
A curated list of awesome loosely performance related JVM stuff. Inspired by awesome-python.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Using Spark to analyze stock market data and give trading recommendations
Samples for Cloud Dataproc
Explore an emerging NLP capability with WikiQA, an automated question answering system built on top of Wikipedia.
How can echocardiographic sequences be compressed by using Vector Quantization
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization offered by Google Cloud Team
List of Computer Science courses with video lectures.
Data Science at the Command Line
A repository of books in data science
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.
Interactive tools and developer experiences for Big Data on Google Cloud Platform.
a curated list of R tutorials for Data Science, NLP and Machine Learning
Docker image: Deep learning environment with *Keras* and *Jupyter* using CPU or GPU
Reconstructing my PhD dissertation
An end to end walkthrough of LLaMA CPP's server.
gpt4all: an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue
A library for transfer learning by reusing parts of TensorFlow models.
Jupyter notebook showing how to build an image classifier with Python and Tensorflow
Apache Airflow (Incubating)
Soccer matches since 1872
Learning Python Networking - Second Edition, published by Packt
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
An all-in-one Docker image for machine learning. Contains all the popular python machine learning librairies (scikit-learn, xgboost, LightGBM, gensim,Keras, etc...).
🛠 All-in-one web-based IDE specialized for machine learning and data science.