Catniff provides JavaScript developers with a Torch-like deep learning framework.
Open source
24 alternativesHow do delta and deap compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | delta | deap |
|---|---|---|
| What it is | Build machine learning applications with Delta, an open-source framework implemented in Rust. | DEAP provides a Python framework for prototyping evolutionary computation algorithms and testing new ideas. |
| 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 delta and deap.
Catniff provides JavaScript developers with a Torch-like deep learning framework.
DyNet provides tools for building dynamic neural networks and deep learning models.
einops provides readable tensor operations for PyTorch, JAX, TensorFlow, and other frameworks.
Tensors and Dynamic neural networks in Python with strong GPU acceleration.
Gymnasium provides a standard API for single agent reinforcement learning environments and related utilities.
The Darknet neural network framework is written in C and CUDA and supports CPU and GPU computation.