Sotera / correlation-approximationLinks
Spark implementation of the Google Correlate algorithm to quickly find highly correlated vectors in huge datasets
☆93Updated 9 years ago
Alternatives and similar repositories for correlation-approximation
Users that are interested in correlation-approximation are comparing it to the libraries listed below
Sorting:
- Distributed Matrix Library☆72Updated 8 years ago
- ☆110Updated 8 years ago
- Distributed DataFrame: Productivity = Power x Simplicity For Scientists & Engineers, on any Data Engine☆167Updated 4 years ago
- ☆92Updated 9 years ago
- MLeap allows for easily putting Spark ML pipelines into production☆78Updated 8 years ago
- Code to allow running BIDMach on Spark including HDFS integration and lightweight sparse model updates (Kylix).☆15Updated 4 years ago
- GPU Acceleration for Apache Spark☆34Updated 9 years ago
- A scala-based feature generation and modeling framework☆61Updated 6 years ago
- Splash Project for parallel stochastic learning☆94Updated 8 years ago
- Quick summary: This code implements a spectral (third order tensor decomposition) learning method for learning LDA topic model on Spark.☆105Updated 7 years ago
- Topic Modeling on Apache Spark☆94Updated 6 years ago
- Global Vectors for Word Representation on spark☆35Updated 10 years ago
- Spark library for doing exploratory data analysis in a scalable way☆43Updated 9 years ago
- Spark Extension : ML transformers, SQL aggregations, etc that are missing in Apache Spark☆147Updated 9 years ago
- Locality Sensitive Hashing for Apache Spark☆196Updated 8 years ago
- Sparse feature extraction with Spark☆30Updated 6 years ago
- ☆41Updated 7 years ago
- Secondary sort and streaming reduce for Apache Spark☆78Updated 2 years ago
- This project provides sequential pattern mining for Apache Spark. The algorithms are based on the work of Philippe Fournier-Viger and co…☆30Updated 10 years ago
- Additional useful algorithms that can be used with spark.☆24Updated 10 years ago
- Use Cascading Taps and Scalding DSL with Spark☆49Updated 8 years ago
- Implementation of the Loopy Belief Propagation algorithm for Apache Spark☆41Updated 5 years ago
- Complete Pipeline Training at Big Data Scala By the Bay☆71Updated 9 years ago
- An example of running Apache Spark using Scala in ipython notebook☆140Updated 9 years ago
- Lossy Counting and Sticky Sampling implementation for efficient frequency counts on data streams.☆63Updated 9 years ago
- A Real-Time Analytical Processing (RTAP) example using Spark/Shark☆51Updated 11 years ago
- Factorization Machines on Spark and Glint☆25Updated 8 years ago
- Beyond Piwik Analytics with Scala and Apache Spark☆46Updated 10 years ago
- Spark MLlib code optimized to efficiently support sparse data☆51Updated 8 years ago
- Locality Sensitive Hashing for Apache Spark☆87Updated 3 years ago