Pinned Repositories
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.
fast-mRMR
An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).
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.
Imb-sampling-ROS_and_RUS
Spark implementations of two data sampling methods (random oversampling and random undersampling) for imbalanced classification datasets
MOAReduction
A library for data reduction in MOA (Massive Online Analysis) platform.
spark-infotheoretic-feature-selection
This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. 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-IS-streaming
A Nearest Neighbor Classifier for High-Speed Big Data Streams with Instance Selection
spark-MDLP-discretization
Spark implementation of Fayyad's discretizer based on Minimum Description Length Principle (MDLP)
spark-RELIEFFC-fselection
Distributed version of RELIEF-F algorithm for Apache Spark.
sramirez's Repositories
sramirez/spark-infotheoretic-feature-selection
This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. 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.
sramirez/fast-mRMR
An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).
sramirez/spark-MDLP-discretization
Spark implementation of Fayyad's discretizer based on Minimum Description Length Principle (MDLP)
sramirez/badge
An implementation of the BADGE batch active learning algorithm.
sramirez/coursera-deep-learning
Solutions to all quiz and all the programming assignments!!!
sramirez/deep-high-resolution-net.TensorFlow
A TensorFlow implementation of HRNet
sramirez/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
sramirez/Drone_FasterRCNN
Faster RCNN trained for detecting objects from drone views.
sramirez/DSND_Term2
Contains files related to content and project of DSND Term 2
sramirez/edge-tpu-tiny-yolo
Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.
sramirez/efficientdet-pytorch
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
sramirez/fastai-v3
Starter app for fastai v3 model deployment on Render
sramirez/FeuerFreiKiller
Audio detector of wildfire in open nature
sramirez/geotrellis-workshop
GeoTrellis Workshop Material
sramirez/hrnet-pose-tf
sramirez/JSON2YOLO
Convert JSON datasets into YOLO (darknet) format.
sramirez/kaggle_airbus_ship_detection
Kaggle airbus ship detection challenge 21st solution
sramirez/keras-deeplab-v3-plus
Keras implementation of Deeplab v3+ with pretrained weights
sramirez/lsc-cnn
This repository is a fork of a fork of the original pytorch implementation of LSC-CNN.
sramirez/ML_SageMaker_Studies
Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
sramirez/mmdetection
OpenMMLab Detection Toolbox and Benchmark
sramirez/models
Models and examples built with TensorFlow
sramirez/OpenMLOps
sramirez/sagemaker-deployment
Code and associated files for the deploying ML models within AWS SageMaker
sramirez/sagemaker-deployment-s
sramirez/snippets
Snippets from many languages and frameworks
sramirez/tf-hrnet
tensorflow implementation for "High-Resolution Representations for Labeling Pixels and Regions"
sramirez/traffic
A toolbox for processing and analysing air traffic data
sramirez/vaal
Variational Adversarial Active Learning (ICCV 2019)
sramirez/Vitis-AI-Tutorials