burn and sb3-burn

`sb3-burn` is an ecosystem sibling of `burn`, serving as an implementation of stable-baselines3 that leverages the `burn` tensor library and Deep Learning Framework.

burn
76
Verified
sb3-burn
33
Emerging
Maintenance 22/25
Adoption 20/25
Maturity 16/25
Community 18/25
Maintenance 6/25
Adoption 6/25
Maturity 16/25
Community 5/25
Stars: 14,588
Forks: 846
Downloads: 75,546
Commits (30d): 72
Language: Rust
License: Apache-2.0
Stars: 20
Forks: 1
Downloads:
Commits (30d): 0
Language: Rust
License: MIT
No Package No Dependents
No Package No Dependents

About burn

tracel-ai/burn

Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

Burn is a deep learning framework designed for machine learning engineers and researchers. It helps you build, train, and deploy advanced numerical models across various hardware, from cloud GPUs to edge devices. You can use it to develop models for tasks like image recognition or natural language processing and then seamlessly run them on different systems without code changes.

deep-learning-development model-training model-deployment numerical-computing machine-learning-engineering

About sb3-burn

will-maclean/sb3-burn

Implementation of stable-baselines3 in rust with burn

This is a library for machine learning engineers who need to build reinforcement learning systems in Rust. It takes descriptions of environments and desired behaviors, then produces trained AI agents that can learn to perform tasks through trial and error. The library offers common reinforcement learning algorithms and environments, with a focus on speed and flexibility for custom scenarios.

AI Development Reinforcement Learning Robotics Game AI Optimization

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