maxpumperla / elephas
Distributed Deep learning with Keras & Spark
☆1,573Updated last year
Related projects: ⓘ
- Deep Learning Pipelines for Apache Spark☆1,989Updated last year
- Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.☆623Updated 6 years ago
- (Deprecated) Scikit-learn integration package for Apache Spark☆1,079Updated 4 years ago
- PySpark + Scikit-learn = Sparkit-learn☆1,152Updated 3 years ago
- TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.☆3,871Updated last year
- Integration of TensorFlow with other open-source frameworks☆1,371Updated 4 months ago
- [UNMAINTAINED] Automated machine learning for analytics & production☆1,641Updated 3 years ago
- [DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark☆749Updated last month
- Input pipeline framework☆984Updated last week
- MLeap: Deploy ML Pipelines to Production☆1,499Updated 2 months ago
- Distributed Neural Networks for Spark☆603Updated 4 years ago
- A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.☆1,266Updated 6 years ago
- StackNet is a computational, scalable and analytical Meta modelling framework☆1,321Updated 6 years ago
- Model analysis tools for TensorFlow☆1,255Updated 2 weeks ago
- Deep learning with dynamic computation graphs in TensorFlow☆1,825Updated 3 years ago
- Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization☆2,176Updated last year
- A low-latency prediction-serving system☆1,401Updated 3 years ago
- Pretty Tensor: Fluent Networks in TensorFlow☆1,236Updated 4 years ago
- TensorFlow on Spark☆297Updated 6 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,830Updated 6 months ago
- Distributed TensorFlow basics and examples of training algorithms☆644Updated 5 years ago
- Hyper-parameter optimization for sklearn☆1,580Updated 3 months ago
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,388Updated 7 years ago
- PipelineAI☆4,165Updated 5 months ago
- Distributed deep learning on Hadoop and Spark clusters.☆1,267Updated 4 years ago
- Sparkling Water provides H2O functionality inside Spark cluster☆961Updated last month
- A scalable machine learning library on Apache Spark☆793Updated 3 years ago
- Demo of running NNs across different frameworks☆1,655Updated last year
- MLBox is a powerful Automated Machine Learning python library.☆1,490Updated last year
- A library for time series analysis on Apache Spark☆1,191Updated 3 years ago