dnn_from_scratch VS cnn-in-welding

Compare dnn_from_scratch vs cnn-in-welding and see what are their differences.

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dnn_from_scratch cnn-in-welding
1 1
29 42
- -
0.0 1.8
almost 3 years ago over 3 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.

cnn-in-welding

Posts with mentions or reviews of cnn-in-welding. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing dnn_from_scratch and cnn-in-welding you can also consider the following projects:

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

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

HyperGAN - Composable GAN framework with api and user interface

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:

ALAE - [CVPR2020] Adversarial Latent Autoencoders

autogluon - Fast and Accurate ML in 3 Lines of Code

guesslang - Detect the programming language of a source code

image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

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

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

t81_558_deep_learning - T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.