High-performance In-browser LLM Inference Engine
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Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
- autodiff
- deep-learning
- machine-learning
- rust
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
- webgpu
- deep-learning
- stable-diffusion
- web-assembly
LYGIA, it's a granular and multi-language (GLSL, HLSL, Metal, WGSL, WEGL and CUDA) shader library designed for performance and flexibility
SDK to use local models on web easy
- ai-model
- ai-models
- local-ai
- web-ai
Powerful Powerful Machine Learning library with GPU, CPU and WASM backends
👩💻 Matrix and other math, accelerated by WebGPU and WASM
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.
- parallel
- data-science
- go-echarts
- data-visualization
Machine learning compiler in Go. A from-scratch tinygrad port: graph-rewrite IR, autodiff as a compiler pass, zero-CGO WebGPU backend.
- autograd
- compiler
- deep-learning
- golang