Software Alternatives & Reviews
Register | Login
D

Amazon DSSTNE VS Darknet

Compare Amazon DSSTNE VS Darknet and see what are their differences

BoxyHQ
B2B SaaS: Make your app enterprise-ready! Authentication - SAML/OIDC SSO, Directory Sync (SCIM 2.0), Audit Logs, Data Privacy Vault, and more! featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Amazon DSSTNE logo Amazon DSSTNE

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is a library for building Deep Learning (DL) and machine learning (ML) models.

Darknet logo Darknet

Darknet is an open source neural network framework written in C and CUDA.
  • Amazon DSSTNE Landing page
    Landing page //
    2023-10-16
  • Darknet Landing page
    Landing page //
    2019-05-24

Amazon DSSTNE videos

No Amazon DSSTNE videos yet. You could help us improve this page by suggesting one.

+ Add video

Darknet videos

+ Add

Darknet Game review

Category Popularity

0-100% (relative to Amazon DSSTNE and Darknet)

Amazon DSSTNE

Darknet

Data Science And Machine Learning
20 20%
Data Science And Machine Learning
80% 80
Deep Learning
100 100%
Deep Learning
0% 0
OCR
0 0%
OCR
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0

User comments

Share your experience with using Amazon DSSTNE and Darknet. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Darknet seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Amazon DSSTNE mentions (0)

We have not tracked any mentions of Amazon DSSTNE yet. Tracking of Amazon DSSTNE recommendations started around Mar 2021.

Darknet mentions (3)

  • How to identify a senior developer
    This reminds me of the resume for the guy who made darknet Https://pjreddie.com/darknet/. Source: over 1 year ago
  • Face Recognition
    Election of tools: you should define if you are going to use machine/deep learning methods or classical approaches such as the Viola-Jones algorithm. I will recommend you to use ML/DL with TensorFlow (Object Detection API) or Darknet (YOLO). Source: about 2 years ago
  • C with Deep Learning
    Yes, in subfield of ML like DNL and CNL, C||C++ are commonly used, darkent is open source neural network framework written in c and cuda . Source: almost 3 years ago

What are some alternatives?

When comparing Amazon DSSTNE and Darknet, you can also consider the following products

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

TFlearn - TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

Floyd - Heroku for deep learning

Deeplearning4j - Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala.

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

Loading...