The Deep Diamond library provides fast tensor and neural network computations in Clojure using native CPU and GPU routines.
Open source
24 alternativesHow do dfdx and oneDNN compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | dfdx | oneDNN |
|---|---|---|
| What it is | Deep learning in Rust, with shape checked tensors and neural networks. | oneDNN provides a library of optimized deep neural network operations for oneAPI. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Not stated | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both dfdx and oneDNN.
The Deep Diamond library provides fast tensor and neural network computations in Clojure using native CPU and GPU routines.
Catniff provides JavaScript developers with a Torch-like deep learning framework.
Tensors and Dynamic neural networks in Python with strong GPU acceleration.
DyNet provides tools for building dynamic neural networks and deep learning models.
The Darknet neural network framework is written in C and CUDA and supports CPU and GPU computation.
einops provides readable tensor operations for PyTorch, JAX, TensorFlow, and other frameworks.