The Darknet neural network framework is written in C and CUDA and supports CPU and GPU computation.
Open source
24 alternativesHow do Deep Diamond and Candle compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Deep Diamond | Candle |
|---|---|---|
| What it is | The Deep Diamond library provides fast tensor and neural network computations in Clojure using native CPU and GPU routines. | Candle provides a minimalist Rust framework for machine learning model development and execution tasks. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both Deep Diamond and Candle.
The Darknet neural network framework is written in C and CUDA and supports CPU and GPU computation.
DyNet provides tools for building dynamic neural networks and deep learning models.
Catniff provides JavaScript developers with a Torch-like deep learning framework.
DEAP provides a Python framework for prototyping evolutionary computation algorithms and testing new ideas.
Tensorforce provides a TensorFlow library for applied reinforcement learning tasks.
einops provides readable tensor operations for PyTorch, JAX, TensorFlow, and other frameworks.