TensorFlow2.0_Notebooks VS TensorFlow-Tutorials

Compare TensorFlow2.0_Notebooks vs TensorFlow-Tutorials and see what are their differences.

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TensorFlow2.0_Notebooks TensorFlow-Tutorials
1 2
37 9,250
- -
0.0 0.0
about 3 years ago over 3 years ago
Jupyter Notebook Jupyter Notebook
MIT License 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.

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 TensorFlow2.0_Notebooks and TensorFlow-Tutorials you can also consider the following projects:

mmcv - OpenMMLab Computer Vision Foundation

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

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

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

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

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

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

Practical_RL - A course in reinforcement learning in the wild

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

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

Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.