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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

NVIDIA TensorRT is an ecosystem of APIs for high-performance deep learning inference, encompassing an inference runtime and model optimizations that deliver low latency and high throughput for production applications. Built on the CUDA parallel programming model, TensorRT optimizes neural network models trained on all major frameworks, calibrating them for lower precision with high accuracy, and deploying them across hyperscale data centers, workstations, laptops, and edge devices. It employs techniques such as quantization, layer and tensor fusion, and kernel tuning on all types of NVIDIA GPUs, from edge devices to PCs to data centers. The ecosystem includes TensorRT-LLM, an open source library that accelerates and optimizes inference performance of recent large language models on the NVIDIA AI platform, enabling developers to experiment with new LLMs for high performance and quick customization through a simplified Python API.

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

Machine learning engineers and data scientists seeking a tool to optimize their deep learning operations

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

Free
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

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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:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Darknet
pjreddie.com/darknet/

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/tensorrt

Alternatives

Alternatives

OpenVINO

OpenVINO

Intel
Threat Landscape

Threat Landscape

Ecliptica Labs AB

Categories

Categories

Integrations

CUDA
Kimi K2
Kimi K2.5
Kimi K2.6
Kimi K2.7 Code
MATLAB
NVIDIA AI Enterprise
NVIDIA Broadcast
NVIDIA Clara
NVIDIA DeepStream SDK
NVIDIA Morpheus
NVIDIA Riva Studio
NVIDIA virtual GPU
PyTorch
Python
RankGPT
RankLLM
TensorFlow
Thunder Compute
Ultralytics

Integrations

CUDA
Kimi K2
Kimi K2.5
Kimi K2.6
Kimi K2.7 Code
MATLAB
NVIDIA AI Enterprise
NVIDIA Broadcast
NVIDIA Clara
NVIDIA DeepStream SDK
NVIDIA Morpheus
NVIDIA Riva Studio
NVIDIA virtual GPU
PyTorch
Python
RankGPT
RankLLM
TensorFlow
Thunder Compute
Ultralytics
Claim Darknet and update features and information
Claim Darknet and update features and information
Claim NVIDIA TensorRT and update features and information
Claim NVIDIA TensorRT and update features and information