cerndb / dist-kerasLinks
Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
☆623Updated 6 years ago
Alternatives and similar repositories for dist-keras
Users that are interested in dist-keras are comparing it to the libraries listed below
Sorting:
- Distributed Deep learning with Keras & Spark☆1,574Updated 2 years ago
- TensorFlow on Spark☆297Updated 7 years ago
- Distributed TensorFlow basics and examples of training algorithms☆642Updated 6 years ago
- Easy to use library to bring Tensorflow on Apache Spark☆296Updated last year
- Input pipeline framework☆985Updated last week
- Distributed Neural Networks for Spark☆604Updated 4 years ago
- Integration of TensorFlow with other open-source frameworks☆1,372Updated 8 months ago
- A library for factorization machines and polynomial networks for classification and regression in Python.☆245Updated 4 years ago
- Tuning hyperparams fast with Hyperband☆594Updated 6 years ago
- auto-tuning momentum SGD optimizer☆424Updated 7 years ago
- Distributed Deep Learning on Spark☆402Updated 8 years ago
- Deep Learning in H2O using Native GPU Backends☆282Updated 7 years ago
- Studio: Simplify and expedite model building process☆382Updated 11 months ago
- TensorFlow framework for training and serving machine learning models☆196Updated 8 years ago
- ⛔️ DEPRECATED brew: Python Ensemble Learning API☆303Updated 6 years ago
- Extra batteries for Keras☆257Updated 6 years ago
- Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on MXNet, Theano or TensorFlow.☆124Updated 6 years ago
- A set of simple Python scripts for pre-processing large files☆273Updated last year
- TensorFlow implementation of an arbitrary order Factorization Machine☆781Updated 3 years ago
- Lattice methods in TensorFlow☆518Updated 10 months ago
- PySpark + Scikit-learn = Sparkit-learn☆1,154Updated 4 years ago
- Step-by-step Deep Leaning Tutorials on Apache Spark using BigDL☆210Updated 2 years ago
- Reliable Allreduce and Broadcast Interface for distributed machine learning☆510Updated 4 years ago
- Multi-core implementation of Regularized Greedy Forest☆464Updated 6 years ago
- Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.☆354Updated 5 months ago
- Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface☆246Updated 4 years ago
- A Python wrapper for the libffm library.☆243Updated 7 years ago
- XGBoost Feature Interactions & Importance☆500Updated 7 years ago
- Python library for converting Scikit-Learn pipelines to PMML☆693Updated this week
- Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)☆230Updated 9 years ago