cerndb / dist-kerasLinks
Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
☆623Updated 7 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☆1,572Updated 2 years ago
- TensorFlow on Spark☆297Updated 7 years ago
- Easy to use library to bring Tensorflow on Apache Spark☆296Updated last year
- Distributed TensorFlow basics and examples of training algorithms☆643Updated 6 years ago
- Distributed Neural Networks for Spark☆604Updated 5 years ago
- Input pipeline framework☆986Updated 2 weeks ago
- Distributed Deep Learning on Spark☆403Updated 8 years ago
- Studio: Simplify and expedite model building process☆382Updated last year
- Deep Learning in H2O using Native GPU Backends☆283Updated 7 years ago
- Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.☆354Updated 7 months ago
- A set of simple Python scripts for pre-processing large files☆273Updated last year
- Start Tensorboard in Jupyter Notebook☆459Updated 3 years ago
- TensorFlow framework for training and serving machine learning models☆195Updated 8 years ago
- Lattice methods in TensorFlow☆519Updated last year
- XGBoost Feature Interactions & Importance☆500Updated 7 years ago
- Tuning hyperparams fast with Hyperband☆595Updated 7 years ago
- Step-by-step Deep Leaning Tutorials on Apache Spark using BigDL☆211Updated 2 years ago
- Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on MXNet, Theano or TensorFlow.☆124Updated 6 years ago
- Extra batteries for Keras☆257Updated 6 years ago
- Multi-core implementation of Regularized Greedy Forest☆466Updated 7 years ago
- Tensorflow Best Practices☆330Updated 8 years ago
- Integration of TensorFlow with other open-source frameworks☆1,373Updated 10 months ago
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,393Updated 8 years ago
- PySpark + Scikit-learn = Sparkit-learn☆1,156Updated 4 years ago
- Python binding for Microsoft LightGBM☆345Updated 6 years ago
- A scalable machine learning library on Apache Spark☆794Updated 3 years ago
- Bayesian Optimization using xgboost and sklearn API☆226Updated 9 years ago
- A data pipeline framework for machine learning☆871Updated 2 years ago
- Notebooks for MXNet☆612Updated 7 years ago
- Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface☆247Updated 5 years ago