SolSudo VS These-People-Do-Not-Exist

Compare SolSudo vs These-People-Do-Not-Exist and see what are their differences.

SolSudo

SolSudo is a deep learning-based sudoku solver that solves sudoku by using images, using an intelligent prediction method to fill in blank digits one by one. It features image-based sudoku detection with tesseract-ocr but also has a manual input method. (by AryaKoureshi)
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SolSudo These-People-Do-Not-Exist
1 2
9 15
- -
0.0 0.0
over 1 year 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.

SolSudo

Posts with mentions or reviews of SolSudo. 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 SolSudo and These-People-Do-Not-Exist you can also consider the following projects:

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

image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.

IAmNotReal - App that uses machine learning to generate human faces

deepfake-scanner - Deepfake Scanner by Deepware.

ALAE - [CVPR2020] Adversarial Latent Autoencoders

Crystal-Rush - An open world platformer game

robin - RObust document image BINarization

SteganoGAN - SteganoGAN is a tool for creating steganographic images using adversarial training.

Keras-GAN - Keras implementations of Generative Adversarial Networks.

SAM - Official Implementation for "Only a Matter of Style: Age Transformation Using a Style-Based Regression Model" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02754

hope-autonomous-driving - Autonomous Driving project for Euro Truck Simulator 2 Running on Real World

DEEPFAKE-AUDIO - An audio deepfake is when a “cloned” voice that is potentially indistinguishable from the real person’s is used to produce synthetic audio.

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Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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