The Darknet neural network framework is written in C and CUDA and supports CPU and GPU computation.
Open source
24 alternativesDeep Diamond
The Deep Diamond library provides fast tensor and neural network computations in Clojure using native CPU and GPU routines.
About Deep Diamond
Deep Diamond is a Clojure library for tensor and neural network computations. It uses native libraries and computation routines for CPU and GPU.
It is distributed via Clojars and requires adding two Maven Central repositories to a project, as shown in the hello-world-aot example.
Key features
- Tensor computations in Clojure
- Neural network computations in Clojure
- CPU execution with native libraries
- GPU execution with native routines
Best for: Clojure developers working with tensors and neural networks on CPU and GPU.
Good for
- Supports both CPU and GPU through native libraries
- Available on Clojars with an example project
- Open source under Eclipse Public License 1.0 or later
Watch out for
- Requires adding two Maven Central repositories to the project
Deep Diamond at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Deep Diamond FAQ
How is Deep Diamond added to a project?
It is available on Clojars, and the project also needs two Maven Central repositories as shown in the hello-world-aot example.
What license covers Deep Diamond?
It is distributed under the Eclipse Public License version 1.0 or any later version.
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