hope-autonomous-driving VS These-People-Do-Not-Exist

Compare hope-autonomous-driving vs These-People-Do-Not-Exist and see what are their differences.

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hope-autonomous-driving These-People-Do-Not-Exist
2 2
45 15
- -
3.7 0.0
10 months ago over 2 years ago
Python Python
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.

hope-autonomous-driving

Posts with mentions or reviews of hope-autonomous-driving. We have used some of these posts to build our list of alternatives and similar projects.

These-People-Do-Not-Exist

Posts with mentions or reviews of These-People-Do-Not-Exist. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-28.
  • Github
    4 projects | /r/Kenya | 28 Dec 2021
    two
  • TinyML: Deploying TensorFlow models to Android
    3 projects | dev.to | 24 Aug 2021
    A while back, researchers at NVIDIA released StyleGAN, a machine learning model that synthesizes images of pretty much anything from random noise, say images of landscapes, art, people, or vehicles. I saw a demo of it and it honestly blew my mind. Shortly after I implemented StyleGAN myself.

What are some alternatives?

When comparing hope-autonomous-driving and These-People-Do-Not-Exist you can also consider the following projects:

robo-vln - Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0