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Darknet VS PyTorch

Compare Darknet VS PyTorch and see what are their differences

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Darknet

Darknet is an open source neural network framework written in C and CUDA.

PyTorch

Open source deep learning platform that provides a seamless path from research prototyping to...
  • Darknet Landing page
    Landing page //
    2019-05-24
  • PyTorch Landing page
    Landing page //
    2023-07-15

Darknet

Categories
  • OCR
  • Machine Learning
  • Data Science And Machine Learning
  • Image Analysis
Website pjreddie.com  
Details $

PyTorch

Categories
  • Data Science And Machine Learning
  • Data Science Tools
  • AI
  • Python Tools
Website pytorch.org  
Details $

Darknet videos

+ Add

Darknet Game review

PyTorch videos

+ Add

PyTorch in 5 Minutes

More videos:

  • Review - Jeremy Howard: Deep Learning Frameworks - TensorFlow, PyTorch, fast.ai | AI Podcast Clips
  • Review - PyTorch at Tesla - Andrej Karpathy, Tesla

Category Popularity

0-100% (relative to Darknet and PyTorch)

Darknet

PyTorch

Data Science And Machine Learning
13 13%
Data Science And Machine Learning
87% 87
Machine Learning
31 31%
Machine Learning
69% 69
Data Science Tools
13 13%
Data Science Tools
87% 87
OCR
100 100%
OCR
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Darknet and PyTorch

Darknet Reviews

We have no reviews of Darknet yet.
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PyTorch Reviews

25 Python Frameworks to Master
Along with TensorFlow, PyTorch (developed by Facebook’s AI research group) is one of the most used tools for building deep learning models. It can be used for a variety of tasks such as computer vision, natural language processing, and generative models.
Source: kinsta.com
PyTorch vs TensorFlow in 2022
When we compare HuggingFace model availability for PyTorch vs TensorFlow, the results are staggering. Below we see a chart of the total number of models available on HuggingFace that are either PyTorch or TensorFlow exclusive, or available for both frameworks. As we can see, the number of models available for use exclusively in PyTorch absolutely blows the competition out of...
Source: www.assemblyai.com
15 data science tools to consider using in 2021
First released publicly in 2017, PyTorch uses arraylike tensors to encode model inputs, outputs and parameters. Its tensors are similar to the multidimensional arrays supported by NumPy, another Python library for scientific computing, but PyTorch adds built-in support for running models on GPUs. NumPy arrays can be converted into tensors for processing in PyTorch, and vice...
Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, PyTorch seems to be a lot more popular than Darknet. While we know about 100 links to PyTorch, we've tracked only 3 mentions of Darknet. 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.

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: about 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: over 2 years ago

PyTorch mentions (100)

  • Releasing The Force Of Machine Learning: A Novice’s Guide 😃
    PyTorch: An open-source deep learning framework that facilitates dynamic computational graphs, making it flexible and efficient for research and production. - Source: dev.to / 5 days ago
  • How To Implement Data Streaming In PyTorch From A Remote Database
    In this blog post, we will go through a full example and setup a data stream to PyTorch from a playground dataset on a remote database. - Source: dev.to / about 1 month ago
  • Beyond Backpropagation - Higher Order, Forward and Reverse-mode Automatic Differentiation for Tensorken
    This post describes how I added automatic differentiation to Tensorken. Tensorken is my attempt to build a fully featured yet easy-to-understand and hackable implementation of a deep learning library in Rust. It takes inspiration from the likes of PyTorch, Tinygrad, and JAX. - Source: dev.to / 3 months ago
  • Apple releases MLX for Apple Silicon
    The design of MLX is inspired by frameworks like NumPy, PyTorch, Jax, and ArrayFire. Source: 3 months ago
  • Comfy-Ui Manager Stopped Working 2 Hours ago!?
    If you go to https://pytorch.org/, you can choose an installation script tailored to your environment. Source: 3 months ago
View more

What are some alternatives?

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

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

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.

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

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.

OpenCV - OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer...

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