Sergio Ramírez's repositories
MOAReduction
A library for data reduction in MOA (Massive Online Analysis) platform.
spark-IS-streaming
A Nearest Neighbor Classifier for High-Speed Big Data Streams with Instance Selection
spark-RELIEFFC-fselection
Distributed version of RELIEF-F algorithm for Apache Spark.
Imb-sampling-ROS_and_RUS
Spark implementations of two data sampling methods (random oversampling and random undersampling) for imbalanced classification datasets
EMD-discretizer
EMD is an evolutionary-based discretization algorithm with binary representation which selects the most adequate combination of boundary cut points to create discrete intervals.
flink-infotheoretic-feature-selection
This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods for Apache Flink. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.
spark-DEMD-discretizer
An Entropy Multivariate Discretizer for data reduction on Spark
paper53-ReviewBigData-INFFUS
Review about Big Data algorithms for publication on Information Fusion
2015
Public material for CS109
CarND-LeNet-Lab
LeNet-5 model in Tensorflow
courses
fast.ai Courses
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
Distributed-EMD
A distributed implementation of Evolutionary Multivariate Discretizer (EMD).
HRNet-Human-Pose-Estimation
This repo is copied from https://github.com/leoxiaobin/deep-high-resolution-net.pytorch
jCOLIBRI-weka
jCOLIBRI version for a better integration with weka
mlcourse.ai
Open Machine Learning Course
natural-language-processing
Resources for "Natural Language Processing" Coursera course.
scala-best-practices
A collection of Scala best practices
scalabilityTestSpark
Simple scalability tests to measure the performance of Spark
spark-knn
k-Nearest Neighbors algorithm on Spark
spark-neighbors
Spark-based approximate nearest neighbor search using locality-sensitive hashing
SparkSMOTE
The Synthetic Minority Oversampling Technique (SMOTE) implemented in Spark.
tensorflow
Computation using data flow graphs for scalable machine learning
udacity-deep-learning
Udacity Deep Learning MOOC assignments