Deep-Learning-In-Production VS TensorFlow-Tutorials

Compare Deep-Learning-In-Production vs TensorFlow-Tutorials and see what are their differences.

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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TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos (by Hvass-Labs)
Tensorflow Deep Learning Machine Learning reinforcement-learning python-notebook Tutorial neural-network Youtube
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Deep-Learning-In-Production TensorFlow-Tutorials
2 2
1,073 9,250
0.8% -
0.0 0.0
almost 1 year ago over 3 years 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.

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

TensorFlow-Tutorials

Posts with mentions or reviews of TensorFlow-Tutorials. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-20.

What are some alternatives?

When comparing Deep-Learning-In-Production and TensorFlow-Tutorials you can also consider the following projects:

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

car-damage-detection - Detectron2 for car damage detection using custom dataset

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

YOLO_Object_Detection - This is the code for "YOLO Object Detection" by Siraj Raval on Youtube

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

TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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

Practical_RL - A course in reinforcement learning in the wild

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

m1-machine-learning-test - Code for testing various M1 Chip benchmarks with TensorFlow.

TrainInvaders - 👾 Jupyter Notebook + Space Invaders!?

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

Deep-Learning-In-Production vs strv-ml-mask2face TensorFlow-Tutorials vs car-damage-detection Deep-Learning-In-Production vs ArtLine TensorFlow-Tutorials vs YOLO_Object_Detection Deep-Learning-In-Production vs PConv-Keras TensorFlow-Tutorials vs TensorFlow-Examples Deep-Learning-In-Production vs practical-mlops-book TensorFlow-Tutorials vs Practical_RL Deep-Learning-In-Production vs Human-Segmentation-PyTorch TensorFlow-Tutorials vs m1-machine-learning-test Deep-Learning-In-Production vs TrainInvaders TensorFlow-Tutorials vs TensorFlow2.0_Notebooks