dnn_from_scratch VS These-People-Do-Not-Exist

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

dnn_from_scratch

A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation). (by ShivamShrirao)
convolutional-neural-networks backpropagate Cnn Gan generative-adversarial-network Deep Learning Mnist cifar Numpy Optimizers Library Python Computer Vision cnn-from-scratch ml-from-scratch Machine Learning neural-network deep-neural-networks Keras
Source Code
Suggest alternative
Edit details

These-People-Do-Not-Exist

AI that generates human faces which have never been seen before. The future is now 😁 (by badass-techie)
Deep Learning Computer Vision deep-generative-modelling convolutional-neural-networks Cnn Python Tensorflow Keras generative-adversarial-networks Gan Generator discriminator latent-space latent-variables deepfake Stylegan Nvidia
Source Code
Suggest alternative
Edit details
InfluxDB
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors
dnn_from_scratch These-People-Do-Not-Exist
1 2
29 15
- -
0.0 0.0
almost 3 years ago over 2 years ago
Python Python
- -
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.

dnn_from_scratch

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

deepxde - A library for scientific machine learning and physics-informed learning

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

HyperGAN - Composable GAN framework with api and user interface

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

ALAE - [CVPR2020] Adversarial Latent Autoencoders

IAmNotReal - App that uses machine learning to generate human faces

guesslang - Detect the programming language of a source code

deepfake-scanner - Deepfake Scanner by Deepware.

open-lpr - Open Source and Free License Plate Recognition Software

Crystal-Rush - An open world platformer game

dnn_from_scratch vs deepxde These-People-Do-Not-Exist vs Mask-RCNN-TF2 dnn_from_scratch vs HyperGAN These-People-Do-Not-Exist vs image-quality-assessment dnn_from_scratch vs ALAE These-People-Do-Not-Exist vs IAmNotReal dnn_from_scratch vs guesslang These-People-Do-Not-Exist vs deepfake-scanner dnn_from_scratch vs open-lpr These-People-Do-Not-Exist vs ALAE dnn_from_scratch vs Mask-RCNN-TF2 These-People-Do-Not-Exist vs Crystal-Rush