TensorFlow-Tutorials VS TensorFlow2.0_Notebooks

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

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

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.

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.

What are some alternatives?

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

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

mmcv - OpenMMLab Computer Vision Foundation

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

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

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

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

Practical_RL - A course in reinforcement learning in the wild

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

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

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

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