horovod VS deepstreet

Compare horovod vs deepstreet and see what are their differences.

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. [Moved to: https://github.com/horovod/horovod] (by uber)
Tensorflow Uber Machine Learning Machinelearning Mpi baidu Deep Learning Deeplearning Keras Pytorch Mxnet Spark Ray

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deepstreet

Traffic Sign Recognition - Fine tuning VGG16 + GTSRB (by alessiamarcolini)
Deeplearning traffic-sign-classification convolutional-neural-networks Keras
Source Code
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horovod deepstreet
1 1
11,889 72
- -
9.4 10.0
over 2 years ago over 1 year ago
Python Python
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

horovod

Posts with mentions or reviews of horovod. We have used some of these posts to build our list of alternatives and similar projects.

deepstreet

Posts with mentions or reviews of deepstreet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-23.
  • Need help with a project!!
    6 projects | /r/learnprogramming | 23 Dec 2022
    https://github.com/vamsiramakrishnan/TrafficSignRecognition https://github.com/surmenok/GTSRB/blob/master/german-traffic-signs.ipynb https://github.com/alessiamarcolini/deepstreet https://github.com/JamesLuoau/Traffic-Sign-Recognition-with-Deep-Learning-CNN https://github.com/wolfapple/traffic-sign-recognition https://github.com/hellojialee/Traffic_Sign_Recognition_Efficient_CNN

What are some alternatives?

When comparing horovod and deepstreet you can also consider the following projects:

tf-encrypted - A Framework for Encrypted Machine Learning in TensorFlow

GTSRB - Convolutional Neural Network for German Traffic Sign Recognition Benchmark

rxray - Ray distributed computing integration for RxPY

TrafficSignRecognition - A Deep Neural Network to do traffic sign recognition

seq2seq - A general-purpose encoder-decoder framework for Tensorflow

traffic-sign-recognition - Built and trained a deep neural network to classify traffic signs, using PyTorch. The highlights of this solution would be data preprocessing, trained with heavily augmented data and using Spatial Transformer Network.

polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

Traffic_Sign_Recognition_Efficient_CNNs - A repository for the paper "Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild"

ray_snowflake - Ray Data Connector for Snowflake

horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

client - DagsHub client libraries

Traffic-Sign-Recognition-with-Deep-Learning-CNN - Traffic Sign Recognition with Deep Learning CNN

horovod vs tf-encrypted deepstreet vs GTSRB horovod vs rxray deepstreet vs TrafficSignRecognition horovod vs seq2seq deepstreet vs traffic-sign-recognition horovod vs polyaxon deepstreet vs Traffic_Sign_Recognition_Efficient_CNNs horovod vs ray_snowflake deepstreet vs horovod horovod vs client deepstreet vs Traffic-Sign-Recognition-with-Deep-Learning-CNN