Java based Convolutional Neural Network package running on Apache Spark framework
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Updated
Jan 14, 2017 - Java
Java based Convolutional Neural Network package running on Apache Spark framework
Java based Convolutional Neural Network package running on Apache Spark framework
Distributed Machine Learning Studio
Torch Automatic Distributed Neural Network (TorchAD-NN) training library. Built on top of TorchMPI, this module automatically parallelizes neural network training.
Simulation of distributed SVM
A lightweight community-aware heterogeneous parameter server paradigm.
Atomo: Communication-efficient Learning via Atomic Sparsification
Hierarchical Distributed Stream Miner: A Distributed Data Mining Approach to Classifying Heterogeneous Data Streams
distributed sgd implementation with tensorflow and mpi4py.
Harmony: A new scheduling framework that executes multiple Parameter-Server (PS) Machine Learning (ML) training jobs efficiently to improve cluster resource utilization.
😂Distributed optimizer implemented with TensorFlow MPI operation
This repo includes a TF estimator implemented in Amazon SageMaker, distributed over 2 nodes.
A collection of hand-made distributed (except for 1) machine learning architectures
Distributed Neural Networks Training
Ring Allreduce implmentation in Spark with Barrier Scheduling experiment
vector quantization for stochastic gradient descent.
Distributed Machine Learning with Apache Spark (CS120x)(Edx) Assignment Solutions
📕 😎 Mostly a collection of research papers categorized into broad topics in federated learning.
Master-slave distributed system that works together to speed up the kNN classification.
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
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