Tensorforce provides a TensorFlow library for applied reinforcement learning tasks.
Open source
24 alternativesHow do deap and Candle compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | deap | Candle |
|---|---|---|
| What it is | DEAP provides a Python framework for prototyping evolutionary computation algorithms and testing new ideas. | 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 deap and Candle.
Tensorforce provides a TensorFlow library for applied reinforcement learning tasks.
einops provides readable tensor operations for PyTorch, JAX, TensorFlow, and other frameworks.
DyNet provides tools for building dynamic neural networks and deep learning models.
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.
Catniff provides JavaScript developers with a Torch-like deep learning framework.