DL-Benchmarks / ADMMLLinks
ADMM based Scalable Machine Learning on Spark
☆21Updated 7 years ago
Alternatives and similar repositories for ADMML
Users that are interested in ADMML are comparing it to the libraries listed below
Sorting:
- Vector-free L-BFGS implementation on Spark☆9Updated 9 years ago
- ☆11Updated last year
- Implementation of ADMM algorithm on Apache Spark☆25Updated 9 years ago
- Code for Criteo competition http://www.kaggle.com/c/criteo-display-ad-challenge☆22Updated 10 years ago
- A primal-dual framework for distributed L1-regularized optimization☆36Updated 9 years ago
- Assembly of fundamental statistics implemented based on Apache Spark☆31Updated 9 years ago
- ☆26Updated 8 years ago
- GSOC 2017 - Apache Organization - # Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python…☆14Updated 8 years ago
- Multinomial Factorization Machines☆21Updated 8 years ago
- ☆14Updated 8 years ago
- Scalable Distributed LDA implementation for Spark & Glint☆28Updated 8 years ago
- Java implementation of the Microsoft's AdPredictor algorithm☆17Updated 7 years ago
- ADMM on Apache Spark☆31Updated 9 years ago
- Splash Project for parallel stochastic learning☆94Updated 7 years ago
- ☆36Updated 10 years ago
- Another, hopefully better, implementation of ALS on Spark☆14Updated 10 years ago
- Implementing Like2Vec (Word2Vec for users or items) using TensorFlow☆19Updated 9 years ago
- Spark MLlib code optimized to efficiently support sparse data☆51Updated 8 years ago
- Distributed solver library for large-scale structured output prediction, based on Spark. Project website:☆17Updated 9 years ago
- A curated inventory of machine learning methods available on the Apache Spark platform, both in official and third party libraries.☆65Updated 8 years ago
- Boosting and ensemble learning in Python.☆54Updated 10 years ago
- ☆49Updated 7 years ago
- Linear Recommender AAAI-16 code☆20Updated 7 years ago
- a large scale lbfgs using a method in nips 2014 paper "Large-scale L-BFGS using MapReduce".☆13Updated 10 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 9 years ago
- Implementation of Counterfactual risk minimization☆26Updated 8 years ago
- 1st place submission to the AutoML competition - phase 2☆28Updated 9 years ago
- Topic Modeling on Apache Spark☆95Updated 6 years ago
- Predictive analatics using deepLearning4j and Spark☆26Updated 8 years ago
- Yggdrasil: Faster Decision Trees Using Column Partitioning in Spark☆31Updated 7 years ago