pytorch_deep_learning VS dnn_from_scratch

Compare pytorch_deep_learning vs dnn_from_scratch and see what are their differences.

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pytorch_deep_learning dnn_from_scratch
1 1
6 29
- -
0.0 0.0
over 3 years ago almost 3 years ago
Python Python
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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.

pytorch_deep_learning

Posts with mentions or reviews of pytorch_deep_learning. We have used some of these posts to build our list of alternatives and similar projects.
  • Using PyTorch to Create Deep Learning Models.
    1 project | /r/deeplearning | 8 Dec 2021
    I've created a repository ‏‏‎ full of PyTorch codes for different deep learning models, please finish check out and any feedback is appreciated.https://github.com/kumarUjjawal/pytorch_deep_learning/tree/master

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.

What are some alternatives?

When comparing pytorch_deep_learning and dnn_from_scratch you can also consider the following projects:

sentence-classification - Sentence Classifications with Neural Networks

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

nlp-recipes - Natural Language Processing Best Practices & Examples

HyperGAN - Composable GAN framework with api and user interface

eda_nlp - Data augmentation for NLP, presented at EMNLP 2019

ALAE - [CVPR2020] Adversarial Latent Autoencoders

guesslang - Detect the programming language of a source code

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.

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