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About

Darknet is an open-source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do. Darknet is easy to install with only two optional dependencies, OpenCV if you want a wider variety of supported image types, and CUDA if you want GPU computation. Darknet on the CPU is fast but it's like 500 times faster on GPU! You'll have to have an Nvidia GPU and you'll have to install CUDA. By default, Darknet uses stb_image.h for image loading. If you want more support for weird formats (like CMYK jpegs, thanks Obama) you can use OpenCV instead! OpenCV also allows you to view images and detections without having to save them to disk. Classify images with popular models like ResNet and ResNeXt. Recurrent neural networks are all the rage for time-series data and NLP.

About

Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Anyone requiring an open-source neural network framework for neural network processes and image recognition

Audience

Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 5.0 / 5
ease 1.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Darknet
pjreddie.com/darknet/

Company Information

PyTorch
Founded: 2016
pytorch.org

Alternatives

Alternatives

Core ML

Core ML

Apple
Create ML

Create ML

Apple
MXNet

MXNet

The Apache Software Foundation
DeepSpeed

DeepSpeed

Microsoft

Categories

Categories

Integrations

Activeeon ProActive
Amazon EC2 P5 Instances
Amazon S3 Express One Zone
Amazon SageMaker Model Training
Cirrascale
Dataoorts GPU Cloud
Deep Lake
Gradient
Guild AI
Hugging Face Transformers
IBM Distributed AI APIs
IREN Cloud
LTXV
NeevCloud
Sesterce
SuperDuperDB
TensorWave
Vast.ai
io.net
spaCy

Integrations

Activeeon ProActive
Amazon EC2 P5 Instances
Amazon S3 Express One Zone
Amazon SageMaker Model Training
Cirrascale
Dataoorts GPU Cloud
Deep Lake
Gradient
Guild AI
Hugging Face Transformers
IBM Distributed AI APIs
IREN Cloud
LTXV
NeevCloud
Sesterce
SuperDuperDB
TensorWave
Vast.ai
io.net
spaCy
Claim Darknet and update features and information
Claim Darknet and update features and information
Claim PyTorch and update features and information
Claim PyTorch and update features and information