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A curated collection of Rust projects related to neural networks, designed to complement "Are We Learning Yet."

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Awesome-Rust-Neural-Network

A curated collection of Rust projects related to neural networks, designed to complement "Are We Learning Yet". I plan to submit libraries to "Are We Learning Yet" that are included in this project but currently missing from it.

This repository aims to provide a comprehensive overview of the Rust neural network ecosystem to identify the currently missing foundational infrastructure. Thus, it focuses more on the features, backends, and main dependencies of the Rust-based neural network projects. Note that the features, backends, and main dependencies are based on my own search and understanding, and may be incomplete or even incorrect.

Table of contents

Neural Networks

Name Description Features Backends Main Deps Last Commit Time
candle Minimalist ML framework for Rust Like PyTorch, Training, Various Models CPU, CUDA, CUDA NCCL, WASM gemm, intel-mkl-src, cudarc, metal, accelerate-src 2025-06-07
burn Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. Various backends, Kernel Fusion, Training, Various Models, ONNX WGPU, Candle, Torch, Ndarray, Remote matrixmultiply, blas-src, libm, openblas-src, ndarray, candle-core, cubecl, cudarc, tch 2025-06-06
dfdx Deep learning in Rust, with shape checked tensors and neural networks Compile-time Checking CPU, CUDA, WGPU gemm, cudarc, wgpu 2024-01-25
luminal Deep learning at the speed of light Static Computation Graph, RISC-style arch, Kernel Fusion, Training CPU, CUDA, Metal matrixmultiply, cudarc, metal-rs 2025-06-04
autograph A machine learning library for Rust GPGPU kernels implemented with krnl CPU, Vulkan krnl, ndarray 2024-08-19
unda General purpose machine learning crate Compile to XLA XLA xla-rs 2024-06-19
custos A minimal OpenCL, CUDA, Vulkan and host CPU array manipulation engine / framework Array Manipulation, AutoDiff, Lazy Execution CPU, OpenCL, CUDA, Vulkan, NNAPI min-cl, libm, ash, naga, nnapi 2025-06-08
zyx Tensor library for machine learning Lazy Execution, AutoDiff CUDA, OpenCL, WGPU wgpu, vulkano, manual bindings to CUDA, OpenCL, and HSA 2025-05-13
zenu A Deep Learning Framework Written in Rust Training, AutoDiff CPU, CUDA cblas, openblas-src, manual binding to CUDA 2024-12-30
maidenx A lightweight and fast AI framework in Rust focused on simplicity and performance Educational focus, Mirror PyTorch's arch CPU, CUDA - 2025-04-23
ort Fast ML inference & training for ONNX models in Rust ONNX, Various Backends CUDA, TensorRT, OpenVINO, oneDNN, DirectML, QNN, CoreML, ACL, TVM, CANN, etc. ort-sys: Unsafe Rust bindings for ONNX Runtime 1.20 2025-06-04
tract Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference ONNX, Tensorflow CPU, Metal accelerate-src, blis-src, cblas, metal, ndarray, openblas-src, tensorflow, tflitec 2025-06-06
Kyanite A neural network inference library, written in Rust ONNX, Graph IR CPU, CUDA manual binding to CUDA 2024-07-13
mistral.rs Blazingly fast LLM inference LLM inference, safetensors, Quantization CPU, CUDA, Metal mkl, candle, metal, accelerate 2025-06-06
InfiniLM A handwriting transformer model project developed from YdrMaster/llama2.rs LLM Inference, Multiple backends supported CPU, CUDA, OpenCL, Ascend, etc. operators 2025-02-07
operators Multi-hardware support operator library Multi-hardware CPU, CUDA, OpenCL, Ascend, Cambricon clrt, infinirt, cuda-driver 2025-02-19
crabml a fast cross platform AI inference engine using Rust and WebGPU LLM Inference, mmap, Quantization CPU, WGPU vulkano, wgpu 2025-01-04
diffusion-rs Blazingly fast inference of diffusion models Diffusion, Quantization, DDUF, Offloading CPU, CUDA, Metal, etc. cudarc, intel-mkl-src, accelerate-sr, metal, gemm 2025-04-01
mmnn rust-based bash-cli for Neural Network propagation/backpropagation bash-cli, json-config - - 2025-04-13

Machine Learning

Name Description Features Backends Main Deps Last Commit Time
adk-rust Production-ready AI agent development kit for Rust Model-agnostic (Gemini, OpenAI, Anthropic), Multi-agent, MCP, Telemetry CPU tokio, serde 2024-12
linfa A Rust machine learning framework like scikit-learn CPU ndarray, sprs 2025-05-26
jams-rs Rust based model serving solution for popular machine learning frameworks Model Store, PyTorch & Tenosrflow Models, Tree Models PyTorch, TensorFlow, Catboost, LightGBM tensorflow, tch, catboost-rs, lgbm, ndarray 2025-05-30
bullet Specialised ML Library Domain-specific, NNUE-style networks, chess engines cudarc -
redstone-ml High-performance Machine Learning, Dynamic Auto-Differentiation and Tensor Algebra crate for Rust AutoDiff, NdArrray CPU, GPU - 2025-06-07

GPU Computing

Name Description Features Backends Main Deps Last Commit Time
cubecl Multi-platform high-performance compute language extension for Rust Kernels in Rust, CubeIR WGPU, CUDA, HIP cudarc, cubecl-hip-sys, ash, cubecl-spirv, wgpu 2025-06-05
krnl Safe, portable, high performance compute (GPGPU) kernels Kernels in Rust Vulkan rsprv, vulkano, ash 2024-05-28
EnzymeAD A rust fork to work towards Enzyme integration AutoDiff on LLVM LLVM Enzyme 2024-11-25
Rust-CUDA Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust Compiling Rust to PTX CUDA Binding 2025-05-26
Rust-GPU Making Rust a first-class language and ecosystem for GPU shaders Compiling Rust to SPIR-V SPIR-V Binding 2025-06-05
cudarc Safe rust wrapper around CUDA toolkit Mixture of safe and sys APIs CUDA Binding 2025-05-07
async-cuda Asynchronous CUDA for Rust Async, NPP CUDA Binding 2024-11-04
async-tensorrt Asynchronous TensorRT for Rust Async, TensorRT CUDA async-cuda, Binding 2025-04-30
cuda-rs Rust wrapper for CUDA Driver (libcuda.so) and Runtime (libcudart.so) APIs - CUDA Binding 2024-01-01
tensorrt-rs Rust wrapper to NVIDIA TensorRT TensorRT CUDA cuda-rs, Binding 2024-01-03

Miscellaneous

  • gpu-allocator, GPU memory allocator for Vulkan, DirectX 12 and Metal. Written in pure Rust.
  • ZLUDA, CUDA on non-NVIDIA GPUs.

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