qcri / sPCALinks
Scalable PCA (sPCA) is a scalable implementation of Principal component analysis algorithm on top of Spark
☆12Updated 10 years ago
Alternatives and similar repositories for sPCA
Users that are interested in sPCA are comparing it to the libraries listed below
Sorting:
- Benchmarks of artificial neural network library for Spark MLlib☆11Updated 10 years ago
- A CPU and GPU-accelerated matrix library for data mining☆267Updated 4 years ago
- Benchmarks of BLAS libraries with Scala interface☆30Updated 10 years ago
- Splash Project for parallel stochastic learning☆93Updated 8 years ago
- Gaussian Mixture Model Implementation in Pyspark☆31Updated 11 years ago
- Distributed Matrix Library☆72Updated 9 years ago
- Quick summary: This code implements a spectral (third order tensor decomposition) learning method for learning LDA topic model on Spark.☆104Updated 7 years ago
- Yggdrasil: Faster Decision Trees Using Column Partitioning in Spark☆30Updated 7 years ago
- Mirror of Apache Spark☆10Updated 9 years ago
- Distributed DataFrame: Productivity = Power x Simplicity For Scientists & Engineers, on any Data Engine☆167Updated 4 years ago
- GPU Acceleration for Apache Spark☆34Updated 10 years ago
- ReactiveLDA is a fast, lightweight implementation of the Latent Dirichlet Allocation (LDA) algorithm, using a parallel vanilla Gibbs samp…☆61Updated 10 years ago
- Scala client for the Lightning data visualization server (WIP)☆47Updated 6 years ago
- Code to allow running BIDMach on Spark including HDFS integration and lightweight sparse model updates (Kylix).☆16Updated 5 years ago
- ☆57Updated 8 years ago
- ☆110Updated 8 years ago
- Spark MLlib code optimized to efficiently support sparse data☆51Updated 9 years ago
- Spark Parameter Optimization and Tuning☆31Updated 7 years ago
- Parallel ML System - Bosen Java implementation☆28Updated 9 years ago
- Spark library for doing exploratory data analysis in a scalable way☆43Updated 10 years ago
- A scala-based feature generation and modeling framework☆61Updated 7 years ago
- SparkTDA is a package for Apache Spark providing Topological Data Analysis Functionalities.☆46Updated 7 years ago
- Deeplearning framework running on Spark☆61Updated 2 years ago
- Functional, Typesafe, Declarative Data Pipelines☆140Updated 8 years ago
- Another, hopefully better, implementation of ALS on Spark☆14Updated 10 years ago
- BOPP: Bayesian Optimization for Probabilistic Programs☆114Updated 8 years ago
- Quick informal survey at the Los Angeles Machine learning meetup about tools used for machine learning.☆51Updated 10 years ago
- An example project for doing grid search in MLlib☆13Updated 11 years ago
- Lossy Counting and Sticky Sampling implementation for efficient frequency counts on data streams.☆63Updated 9 years ago
- MLeap allows for easily putting Spark ML pipelines into production☆78Updated 9 years ago