Angel-ML / servingLinks
A stand alone industrial serving system for angel.
☆62Updated 3 years ago
Alternatives and similar repositories for serving
Users that are interested in serving are comparing it to the libraries listed below
Sorting:
- extremely distributed machine learning☆123Updated 2 years ago
- Spark On Angel, arming Spark with a powerful Parameter Server, which enable Spark to train very big models☆84Updated 2 years ago
- A flexible, high-performance serving system for machine learning models☆143Updated 3 years ago
- Distributed LR、 FM model on Parameter Server. FTRL and SGD Optimization Algorithm.☆224Updated 7 years ago
- Distributed FM and LR based on Parameter Server with Ftrl☆129Updated 7 years ago
- Asynchronous spark machine learning with parameter server☆25Updated 8 years ago
- a TensorFlow-based distributed training framework optimized for large-scale sparse data.☆327Updated 2 weeks ago
- PyTorch On Angel, arming PyTorch with a powerful Parameter Server, which enable PyTorch to train very big models.☆168Updated 2 weeks ago
- Read and write Tensorflow TFRecord data from Apache Spark.☆293Updated last year
- An automatic machine learning toolkit, including hyper-parameter tuning and feature engineering.☆58Updated 5 years ago
- sparse word2vec☆108Updated 3 years ago
- LR、FM model solved by ftrl and sgd parallel on MPI☆111Updated 7 years ago
- ☆41Updated last year
- a parameter server for distributed machine learning applications☆105Updated 9 years ago
- A parallel implementation of factorization machines based on Spark☆74Updated 5 years ago
- Spark-based GBM☆56Updated 5 years ago
- Parameter Server implementation in Apache Flink☆55Updated 6 years ago
- ElasticCTR,即飞桨弹性计算推荐系统,是基于Kubernetes的企业级推荐系统开源解决方案。该方案融合了百度业务场景下持续打磨的高精度CTR模型、飞桨开源框架的大规模分布式训练能力、工业级稀疏参数弹性调度服务,帮助用户在Kubernetes环境中一键完成推荐系统部…☆185Updated 5 years ago
- Java library and command-line application for converting LightGBM models to PMML☆175Updated 3 months ago
- Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark☆87Updated 6 years ago
- Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logi…☆349Updated 3 years ago
- DLFlow is a deep learning framework.☆157Updated 4 years ago
- FFM (Field-Awared Factorization Machine) on Spark☆106Updated 6 years ago
- Vector-free L-BFGS implementation for Spark MLlib☆47Updated 8 years ago
- A flexible, high-performance framework for large-scale retrieval problems based on TensorFlow.☆165Updated 5 months ago
- flink-tensorflow - TensorFlow support for Apache Flink☆215Updated 7 years ago
- An implement of Factorization Machines (LibFM)☆250Updated 6 years ago
- Glint: High performance scala parameter server☆168Updated 6 years ago
- Java library and command-line application for converting TensorFlow models to PMML☆75Updated 7 years ago
- Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.☆70Updated 4 years ago