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distributed-deep-learning

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intel /BigDL

BigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray

python scala apache-spark pytorch keras-tensorflow bigdl distributed-deep-learning deep-neural-network analytics-zoo

UpdatedNov 19, 2025
Jupyter Notebook

dkeras

dkeras-project /dkeras

Distributed Keras Engine, Make Keras faster with only one line of code.

python distributed-systems machine-learning deep-neural-networks deep-learning neural-network tensorflow parallel-computing keras distributed ray keras-models keras-classification-models keras-neural-networks tensorflow-models keras-tensorflow data-parallelism distributed-deep-learning distributed-keras-engine plaidml

UpdatedOct 3, 2019
Python

dyadxmachina /Applied-Deep-Learning-with-TensorFlow

Learn applied deep learning from zero to deployment using TensorFlow 1.8+

deep-neural-networks deep-learning tensorflow google-cloud distributed-deep-learning cloud-machine-learning-engine christian-fanli-ramsey

UpdatedJul 31, 2018
Jupyter Notebook

zoranzhao /DeepThings

A Portable C Library for Distributed CNN Inference on IoT Edge Clusters

deep-neural-networks internet-of-things distributed-deep-learning edge-computing iot-edge-clusters

UpdatedMar 18, 2020
C

ParCIS /Chimera

Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.

transformers distributed-deep-learning pipeline-parallelism

UpdatedMar 20, 2025
Python

sensAI

GuanhuaWang /sensAI

sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data

distributed-systems machine-learning deep-neural-networks deep-learning vgg imagenet resnet cifar10 sysml distributed-deep-learning cifar100 cifar-10 distributed-machine-learning cnn-classification cifar-100 mobilenet-v2 shufflenet-v2 mlsys imagenet1k

UpdatedJul 25, 2024
Python

dnn-distributed

vdutts7 /dnn-distributed

Distributed training of DNNs • C++/MPI Proxies (GPT-2, GPT-3, CosmoFlow, DLRM)

deep-neural-networks mpi dnn message-passing-interface distributed-deep-learning model-parallelism

UpdatedFeb 22, 2024
C++

rkhan055 /SHADE

SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training

caching machine-learning deep-learning storage distributed-deep-learning

UpdatedMar 1, 2023
Python

gsyang33 /Driple

🚨 Prediction of the Resource Consumption of Distributed Deep Learning Systems

machine-learning deep-learning distributed-deep-learning

UpdatedFeb 6, 2023
Python

intel /e2eAIOK

Intel® End-to-End AI Optimization Kit

python spark tensorflow pytorch automl distributed-deep-learning neural-architecture-search

UpdatedJul 18, 2024
Jupyter Notebook

ParCIS /Ok-Topk

Ok-Topk is a scheme for distributed training with sparse gradients. Ok-Topk integrates a novel sparse allreduce algorithm (less than 6k communication volume which is asymptotically optimal) with the decentralized parallel Stochastic Gradient Descent (SGD) optimizer, and its convergence is proved theoretically and empirically.

distributed-deep-learning sparse-allreduce topk-sgd

UpdatedDec 10, 2022
Python

christianramsey /Tensorflow-for-Distributed-Deep-Learning

TensorFlow (1.8+) Datasets, Feature Columns, Estimators and Distributed Training using Google Cloud Machine Learning Engine

machine-learning cloud deep-learning tensorflow inference neural-networks distributed-deep-learning

UpdatedJul 24, 2018
Jupyter Notebook

ravenprotocol /ravnest

Decentralized Asynchronous Training on Heterogeneous Devices

machine-learning artificial-intelligence neural-networks distributed-deep-learning

UpdatedNov 11, 2025
Python

Shigangli /eager-SGD

Eager-SGD is a decentralized asynchronous SGD. It utilizes novel partial collectives operations to accumulate the gradients across all the processes.

distributed-deep-learning partial-allreduce gradient-averaging

UpdatedNov 18, 2021
Python

Shigangli /WAGMA-SGD

WAGMA-SGD is a decentralized asynchronous SGD based on wait-avoiding group model averaging. The synchronization is relaxed by making the collectives externally-triggerable, namely, a collective can be initiated without requiring that all the processes enter it. It partially reduces the data within non-overlapping groups of process, improving the…

distributed-deep-learning model-averaging partial-allreduce

UpdatedJun 30, 2021
Python

ray-project /anyscale-workshop-nyc-2023

Scalable NLP model fine-tuning and batch inference with Ray and Anyscale

nlp ray distributed-deep-learning distributed-machine-learning mlops anyscale

UpdatedApr 6, 2023
Jupyter Notebook

deepspark /deepspark_java

Java based Convolutional Neural Network package running on Apache Spark framework

java deep-neural-networks spark apache-spark deep-learning cnn convolutional-neural-networks spark-framework distributed-deep-learning deepspark-java distributed-machine-learning jblas jcublas

UpdatedJan 14, 2017
Java

lancelee82 /necklace

Distributed deep learning framework based on pytorch/numba/nccl and zeromq.

deep-learning mxnet pytorch distributed numba zerorpc distributed-deep-learning distributed-training nccl

UpdatedAug 10, 2023
Python

amirhosein-mesbah /Deep_Learning

This repository contains the implementation of a wide variety of Deep Learning Projects in different applications of computer vision, NLP, federated, and distributed learning. These projects include university projects and projects implemented due to interest in Deep Learning.

deep-neural-networks deep-learning machine-translation pytorch transformer lstm rnn image-captioning segmentation distributed-deep-learning crowd-counting federated-learning

UpdatedSep 9, 2022
Jupyter Notebook

StefanoFioravanzo /distributed-deeplearning-kubernetes

Collection of resources for automatic deployment of distributed deep learning jobs on a Kubernetes cluster

mxnet tensorflow kubernetes-operator distributed-deep-learning azure-kubernetes-service

UpdatedSep 18, 2018
Python

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