The Deep Diamond library provides fast tensor and neural network computations in Clojure using native CPU and GPU routines.
Darknet
The Darknet neural network framework is written in C and CUDA and supports CPU and GPU computation.

About Darknet
Darknet is an open source neural network framework focused on convolutional neural networks, with project files in a GitHub repository. Its README describes the project, links YOLO object-detection papers and related source code, and gives a Discord channel for communication and questions.
Pricing is not clearly stated.
Key features
- Written in C and CUDA
- Supports CPU and GPU computation
- README calls it fast and easy to install
Darknet at a glance
- Website
- github.com/pjreddie/darknet
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Details verified
- Oct 22, 2026 · Official source
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Darknet alternatives
Tools and sites you could use instead, ranked by how closely they match.
oneDNN provides a library of optimized deep neural network operations for oneAPI.
DyNet provides tools for building dynamic neural networks and deep learning models.
DEAP provides a Python framework for prototyping evolutionary computation algorithms and testing new ideas.
Catniff provides JavaScript developers with a Torch-like deep learning framework.
Candle provides a minimalist Rust framework for machine learning model development and execution tasks.
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