Machine_Learning_and_Deep_Learning_models VS AI101

Compare Machine_Learning_and_Deep_Learning_models vs AI101 and see what are their differences.

AI101

Repository containing guidance material for participants attending the AI101 Workshop (by MuizAlvi)
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Machine_Learning_and_Deep_Learning_models AI101
1 1
1 0
- -
3.2 0.0
over 3 years ago over 3 years ago
Jupyter Notebook Jupyter Notebook
The Unlicense -
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.

Machine_Learning_and_Deep_Learning_models

Posts with mentions or reviews of Machine_Learning_and_Deep_Learning_models. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-07.

AI101

Posts with mentions or reviews of AI101. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-07.

What are some alternatives?

When comparing Machine_Learning_and_Deep_Learning_models and AI101 you can also consider the following projects:

Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Python_Programs - Solved programming problems using Python

Deep-Learning-Push-Up-Counter - Deep Learning approach to count the number of repetitions in a video of push ups or pull ups.

yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0