SparkNet
Neural net framework
Distributed neural network framework for Apache Spark
Distributed Neural Networks for Spark
604 stars
88 watching
171 forks
Language: Scala
last commit: about 6 years agoLinked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| A PyTorch implementation on Apache Spark for distributed deep learning model training and inference. | 339 | |
| An iOS and OS X neural network framework using Metal and Swift for building and executing neural networks | 380 | |
| A Scala API for TensorFlow's deep learning functionality | 939 | |
| Enables parallelization of machine learning tasks on a distributed Spark cluster using the joblib library. | 243 | |
| Provides high-performance APIs for using Apache Spark with .NET | 2,032 | |
| A Python library that integrates PySpark and scikit-learn for distributed machine learning | 1,154 | |
| A MATLAB implementation of a neural network interface for regression and classification tasks | 70 | |
| A framework for large-scale distributed deep learning training using the Spark platform | 220 | |
| Provides bindings for MXNet, an open source deep learning framework written in C++ | 22 | |
| Enables manipulation of Apache Spark DataFrames using TensorFlow programs | 749 | |
| A .NET Standard library providing C# bindings for the Apache MXNet deep learning framework | 149 | |
| A research-focused implementation of Apache Spark with homomorphic encryption support | 3 | |
| A neural network framework designed to make working with neural networks fast and flexible. | 1,303 | |
| A Swift implementation of a fully connected, feed-forward artificial neural network for deep learning and machine learning applications. | 212 | |
| A Python library for building and deploying signal processing applications with spiking neural networks on various hardware platforms. | 55 |