jpatanooga / Metronome
Suite of parallel iterative algorithms built on top of Iterative Reduce
☆106Updated 10 years ago
Alternatives and similar repositories for Metronome:
Users that are interested in Metronome are comparing it to the libraries listed below
- An implementation of DistBelief using the Akka Actor framework☆83Updated 9 years ago
- Deeplearning framework running on Spark☆61Updated last year
- Distributed Matrix Library☆71Updated 8 years ago
- The Deep Learning training framework on Spark☆220Updated 9 years ago
- Spark MLlib code optimized to efficiently support sparse data☆51Updated 8 years ago
- A CPU and GPU-accelerated matrix library for data mining☆265Updated 4 years ago
- ☆111Updated 7 years ago
- Quickly start YARN cluster on EC2☆30Updated 7 years ago
- A Real-Time Analytical Processing (RTAP) example using Spark/Shark☆51Updated 11 years ago
- ADMM based large scale logistic regression☆337Updated last year
- Splash Project for parallel stochastic learning☆94Updated 7 years ago
- Quick summary: This code implements a spectral (third order tensor decomposition) learning method for learning LDA topic model on Spark.☆105Updated 6 years ago
- Graph algorithms implemented in GraphX and Spark styles☆15Updated 9 years ago
- An example of running Apache Spark using Scala in ipython notebook☆140Updated 9 years ago
- DistML provide a supplement to mllib to support model-parallel on Spark☆166Updated 8 years ago
- Project for the talk on NLP using LSTM implementation from DL4J on Spark☆20Updated 8 years ago
- Scalable implementation of artificial neural networks for Spark deep learning☆38Updated 8 years ago
- An implementation of locality sensitive hashing with Hadoop☆57Updated 10 years ago
- A Distributed Matrix Operations Library Built on Top of Spark☆106Updated 8 years ago
- Distributed DataFrame: Productivity = Power x Simplicity For Scientists & Engineers, on any Data Engine☆168Updated 4 years ago
- Locality Sensitive Hashing for Apache Spark☆87Updated 3 years ago
- Topic Modeling on Apache Spark☆95Updated 6 years ago
- Distributed Deep Learning on Spark☆402Updated 8 years ago
- CRF is a Java implementation of Conditional Random Fields, an algorithm for learning from labeled sequences of examples. It also includes…☆28Updated 10 years ago
- Scalable Machine Learning in Scalding☆360Updated 7 years ago
- Set of real time stream processing algorithms that can be used by big data streaming platform☆72Updated 4 years ago
- Code to allow running BIDMach on Spark including HDFS integration and lightweight sparse model updates (Kylix).☆15Updated 4 years ago
- Locality Sensitive Hashing for Apache Spark☆195Updated 8 years ago
- Zen aims to provide the largest scale and the most efficient machine learning platform on top of Spark, including but not limited to logi…☆170Updated 6 years ago
- Scalable Distributed LDA implementation for Spark & Glint☆28Updated 8 years ago