criteo / tf-yarn
Train TensorFlow models on YARN in just a few lines of code!
☆88Updated last year
Alternatives and similar repositories for tf-yarn:
Users that are interested in tf-yarn are comparing it to the libraries listed below
- Vector-free L-BFGS implementation for Spark MLlib☆47Updated 7 years ago
- A tool and library for easily deploying applications on Apache YARN☆143Updated 11 months ago
- Parameter Server implementation in Apache Flink☆55Updated 6 years ago
- Randomized SVD of large sparse matrices on Spark☆78Updated 2 years ago
- Glint: High performance scala parameter server☆168Updated 6 years ago
- Spark ML Lib serving library☆48Updated 6 years ago
- Spark-based GBM☆56Updated 5 years ago
- Building Annoy Index on Apache Spark☆72Updated 4 years ago
- Distributed Streaming Matrix Factorization implemented on Spark for Recommendation Systems☆106Updated 8 years ago
- Spark implementation of Fayyad's discretizer based on Minimum Description Length Principle (MDLP)☆43Updated 2 years ago
- Read and write Tensorflow TFRecord data from Apache Spark.☆292Updated 10 months ago
- A library on top of either pex or conda-pack to make your Python code easily available on a cluster☆45Updated 3 months ago
- PMML evaluator library for the Apache Spark cluster computing system (http://spark.apache.org/)☆94Updated 2 years ago
- Common library for serving TensorFlow, XGBoost and scikit-learn models in production.☆139Updated last year
- Approximate Nearest Neighbors in Spark☆174Updated 3 years ago
- Locality Sensitive Hashing for Apache Spark☆87Updated 3 years ago
- Python library for converting Apache Spark ML pipelines to PMML☆96Updated last week
- XGBoost GPU accelerated on Spark example applications☆52Updated 2 years ago
- A scalable nearest neighbor search library in Apache Spark☆259Updated 5 years ago
- [ARCHIVED] Moved to github.com/NVIDIA/spark-xgboost-examples☆70Updated 4 years ago
- Spark Implementation of Google Facets Overview https://github.com/PAIR-code/facets☆54Updated last year
- Factorization Machines on Spark and Glint☆25Updated 8 years ago
- Self-written notes that may be useful☆107Updated 9 years ago
- The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators☆52Updated last year
- Spark On Angel, arming Spark with a powerful Parameter Server, which enable Spark to train very big models☆84Updated 2 years ago
- Java library and command-line application for converting Apache Spark ML pipelines to PMML☆267Updated 2 weeks ago
- This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is base…☆134Updated 2 years ago
- Bayesian Personalized Ranking for Spark☆40Updated 7 years ago
- JPMML-SparkML plugin for converting LightGBM-Spark models to PMML☆41Updated 3 years ago
- A library for exporting Spark ML models and pipelines to PFA☆54Updated 6 years ago