dnn_from_scratch VS Advanced-Deep-Learning-with-Keras

Compare dnn_from_scratch vs Advanced-Deep-Learning-with-Keras and see what are their differences.

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dnn_from_scratch Advanced-Deep-Learning-with-Keras
1 1
29 1,716
- 1.6%
0.0 0.0
almost 3 years ago about 1 year 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.
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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.

We haven't tracked posts mentioning dnn_from_scratch yet.
Tracking mentions began in Dec 2020.

Advanced-Deep-Learning-with-Keras

Posts with mentions or reviews of Advanced-Deep-Learning-with-Keras. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Advanced-Deep-Learning-with-Keras yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing dnn_from_scratch and Advanced-Deep-Learning-with-Keras you can also consider the following projects:

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

HyperGAN - Composable GAN framework with api and user interface

guesslang - Detect the programming language of a source code

ALAE - [CVPR2020] Adversarial Latent Autoencoders

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

the-gan-zoo - A list of all named GANs!

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

ML-Optimizers-JAX - Toy implementations of some popular ML optimizers using Python/JAX

cnn-in-welding - Detecting Faults and Measuring Severity in Welding using Radiographic Images

AdaVAE - [Preprint] AdaVAE: Exploring Adaptive GPT-2s in VAEs for Language Modeling PyTorch Implementation