autumnai/leaf

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

5541 stars · 268 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Leaf is an open-source machine learning framework written in Rust for building classical, deep, or hybrid ML applications, inspired by TensorFlow, Torch, and Caffe. It emphasizes a simple API, modularity, and portability across CPUs, GPUs, and FPGAs via OpenCL or CUDA through its Collenchyma backend layer.

Use cases

• train neural networks in rust
• build deep learning models with gpu acceleration
• run machine learning on fpgas or embedded devices
• prototype deep learning apps with a minimal api
• cross-platform machine learning without python

When to choose

• you want a lean, Rust-native deep learning framework
• you need portability across CPU, GPU, and FPGA backends
• you prefer minimal dependencies and a simple API

When to avoid

• you need a maintained framework with an active community
• you need modern deep learning features like transformers or autodiff ecosystems
• you want production-grade tooling and broad model support

Facets

library · maturity abandoned

machine-learning deep-learning gpu-computing machine-learning deep-learning rust windows neural-networks opencl cuda rust linux macos gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="autumnai/leaf")