cerndb / dist-keras
Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
☆622Updated 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
- Distributed Deep learning with Keras & Spark☆1,572Updated last year
- 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☆297Updated last year
- Distributed Neural Networks for Spark☆603Updated 4 years ago
- Integration of TensorFlow with other open-source frameworks☆1,370Updated 5 months ago
- Input pipeline framework☆986Updated last month
- Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.☆354Updated 2 months ago
- Studio: Simplify and expedite model building process☆381Updated 8 months ago
- Distributed Deep Learning on Spark☆402Updated 8 years ago
- Multi-core implementation of Regularized Greedy Forest☆464Updated 6 years ago
- TensorFlow framework for training and serving machine learning models☆196Updated 7 years ago
- Deep Learning in H2O using Native GPU Backends☆282Updated 7 years ago
- Model analysis tools for TensorFlow☆1,262Updated 3 weeks ago
- Start Tensorboard in Jupyter Notebook☆459Updated 2 years ago
- Reliable Allreduce and Broadcast Interface for distributed machine learning☆509Updated 4 years ago
- A scalable machine learning library on Apache Spark☆792Updated 3 years ago
- Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on MXNet, Theano or TensorFlow.☆124Updated 6 years ago
- Tuning hyperparams fast with Hyperband☆593Updated 6 years ago
- Extra batteries for Keras☆257Updated 6 years ago
- neon model zoo☆178Updated 2 years ago
- auto-tuning momentum SGD optimizer☆422Updated 7 years ago
- A library for factorization machines and polynomial networks for classification and regression in Python.☆245Updated 4 years ago
- XGBoost Feature Interactions & Importance☆500Updated 7 years ago
- Lattice methods in TensorFlow☆518Updated 7 months ago
- Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface☆246Updated 4 years ago
- Tensorflow Best Practices☆330Updated 8 years ago
- Keras Total Visualization project☆363Updated 7 years ago
- Step-by-step Deep Leaning Tutorials on Apache Spark using BigDL☆209Updated 2 years ago
- Python binding for Microsoft LightGBM☆341Updated 5 years ago