TensorFlow2.0_Notebooks VS Deep-Learning-In-Production

Compare TensorFlow2.0_Notebooks vs Deep-Learning-In-Production and see what are their differences.

TensorFlow2.0_Notebooks

Implementation of a series of Neural Network architectures in TensorFow 2.0 (by IvanBongiorni)
Tensorflow Tensorflow2 tensorflow-tutorials Machine Learning Deep Learning neural-network batch-gradient-descent autoencoder convolutional-neural-networks Lstm dimensionality-reduction forecast-model cnn-classifier Classifier Rnn rnn-tensorflow Data Science Python python-3 autograph
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Deep-Learning-In-Production

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples. (by The-AI-Summer)
Machine Learning Production Deep Learning AI Tensorflow neural-network Python Deployment Cloud Training Unet semantic-segmentation machinelearningproject Deeplearning
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TensorFlow2.0_Notebooks Deep-Learning-In-Production
1 2
37 1,073
- 2.4%
0.0 0.0
about 3 years ago 12 months ago
Jupyter Notebook Jupyter Notebook
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.

TensorFlow2.0_Notebooks

Posts with mentions or reviews of TensorFlow2.0_Notebooks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-17.

Deep-Learning-In-Production

Posts with mentions or reviews of Deep-Learning-In-Production. We have used some of these posts to build our list of alternatives and similar projects.
  • [P] Deep Learning in Production Book
    1 project | /r/MachineLearning | 30 Nov 2021
    The book is based on an old articles series we wrote on our blog so a big portion of the content is already available for free. We just organized/restructured some of the articles and we added some new material. We use a variety of examples with libraries such as Tensorflow, Flask, uWSGI, Nginx, Docker, Kubernetes, Tensorflow Extended, Google Cloud, Vertex AI. The full code and the articles can be found on Github (https://github.com/The-AI-Summer/Deep-Learning-In-Production)
  • [D] Deep learning in Production
    1 project | /r/MachineLearning | 8 Mar 2021

What are some alternatives?

When comparing TensorFlow2.0_Notebooks and Deep-Learning-In-Production you can also consider the following projects:

mmcv - OpenMMLab Computer Vision Foundation

strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath

Time-Series-Forecasting-Using-LSTM - Time-Series Forecasting on Stock Prices using LSTM

ArtLine - A Deep Learning based project for creating line art portraits.

ai-art-generator - For automating the creation of large batches of AI-generated artwork locally.

PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network

practical-mlops-book - [Book-2021] Practical MLOps O'Reilly Book

Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos

TensorFlow2.0_Notebooks vs mmcv Deep-Learning-In-Production vs strv-ml-mask2face TensorFlow2.0_Notebooks vs Time-Series-Forecasting-Using-LSTM Deep-Learning-In-Production vs ArtLine TensorFlow2.0_Notebooks vs ai-art-generator Deep-Learning-In-Production vs PConv-Keras TensorFlow2.0_Notebooks vs cryptocurrency-price-prediction Deep-Learning-In-Production vs practical-mlops-book TensorFlow2.0_Notebooks vs strv-ml-mask2face Deep-Learning-In-Production vs Human-Segmentation-PyTorch TensorFlow2.0_Notebooks vs TensorFlow-Tutorials Deep-Learning-In-Production vs TensorFlow-Tutorials