Alternatives and similar repositories for spark-tfrecord:

Users that are interested in spark-tfrecord are comparing it to the libraries listed below

• LinkedInAttic / scanns
  A scalable nearest neighbor search library in Apache Spark
  ☆261Updated 6 years ago
• Angel-ML / sona
  Spark On Angel, arming Spark with a powerful Parameter Server, which enable Spark to train very big models
  ☆84Updated 2 years ago
• zhengruifeng / spark-libFM
  An implement of Factorization Machines (LibFM)
  ☆250Updated 6 years ago
• Angel-ML / serving
  A stand alone industrial serving system for angel.
  ☆62Updated 3 years ago
• jpmml / jpmml-lightgbm
  Java library and command-line application for converting LightGBM models to PMML
  ☆174Updated this week
• hibayesian / spark-fm
  A parallel implementation of factorization machines based on Spark
  ☆73Updated 4 years ago
• VinceShieh / spark-ffm
  FFM (Field-Awared Factorization Machine) on Spark
  ☆105Updated 6 years ago
• Qihoo360 / XLearning-XDML
  extremely distributed machine learning
  ☆123Updated 2 years ago
• jpmml / jpmml-sparkml
  Java library and command-line application for converting Apache Spark ML pipelines to PMML
  ☆267Updated 2 months ago
• rjagerman / glint
  Glint: High performance scala parameter server
  ☆167Updated 6 years ago
• jpmml / jpmml-xgboost
  Java library and command-line application for converting XGBoost models to PMML
  ☆129Updated last week
• criteo / tf-yarn
  Train TensorFlow models on YARN in just a few lines of code!
  ☆88Updated last year
• Qihoo360 / tensornet
  a TensorFlow-based distributed training framework optimized for large-scale sparse data.
  ☆323Updated this week
• titicaca / spark-gbtlr
  Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
  ☆88Updated 6 years ago
• alibaba / feathub
  FeatHub - A stream-batch unified feature store for real-time machine learning
  ☆325Updated 10 months ago
• jpmml / pyspark2pmml
  Python library for converting Apache Spark ML pipelines to PMML
  ☆97Updated last month
• dmlc / difacto
  Distributed Factorization Machines
  ☆297Updated 9 years ago
• FlinkML / flink-parameter-server
  Parameter Server implementation in Apache Flink
  ☆55Updated 6 years ago
• zhengruifeng / SparkGBM
  Spark-based GBM
  ☆56Updated 5 years ago
• blebreton / spark-FM-parallelSGD
  Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)
  ☆229Updated 8 years ago
• wzhe06 / SparkCTR
  CTR prediction model based on spark(LR, GBDT, DNN)
  ☆912Updated 5 years ago
• CNevd / Difacto_DMLC
  Distributed FM and LR based on Parameter Server with Ftrl
  ☆129Updated 7 years ago
• yanboliang / spark-vlbfgs
  Vector-free L-BFGS implementation for Spark MLlib
  ☆47Updated 7 years ago
• jpmml / jpmml-sparkml-xgboost
  JPMML-SparkML plugin for converting XGBoost4J-Spark models to PMML
  ☆36Updated 5 years ago
• xswang / xflow
  Distributed LR、 FM model on Parameter Server. FTRL and SGD Optimization Algorithm.
  ☆224Updated 7 years ago
• alipay / jpmml-sparkml-lightgbm
  JPMML-SparkML plugin for converting LightGBM-Spark models to PMML
  ☆41Updated 3 years ago
• brkyvz / streaming-matrix-factorization
  Distributed Streaming Matrix Factorization implemented on Spark for Recommendation Systems
  ☆106Updated 9 years ago
• komiya-atsushi / xgboost-predictor-java
  Pure Java implementation of XGBoost predictor for online prediction tasks.
  ☆340Updated 3 years ago
• tony-framework / TonY
  TonY is a framework to natively run deep learning frameworks on Apache Hadoop.
  ☆706Updated last year
• Lapis-Hong / wide_deep
  Wide and Deep Learning for CTR Prediction in tensorflow
  ☆290Updated 3 years ago