benchmark
requests-wasm-polyfill
benchmark | requests-wasm-polyfill | |
---|---|---|
3 | 1 | |
789 | 9 | |
3.3% | - | |
9.8 | 10.0 | |
3 days ago | 3 months ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
benchmark
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PyTorch Primitives in WebGPU for the Browser
>What's a fair benchmark?
the absolute golden benchmarks are https://github.com/pytorch/benchmark
- [R] AMD Instinct MI25 | Machine Learning Setup on the Cheap!
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[R] PyTorch | Budget GPU Benchmarking
TorchBench (https://github.com/pytorch/benchmark) is used by PyTorch core developers to test performance across a wide variety of models. I've never used it personally though.
requests-wasm-polyfill
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PyTorch Primitives in WebGPU for the Browser
Could there be something like emscripten-forge/requests-wasm-polyfill for PyTorch with WebGPU? https://github.com/emscripten-forge/requests-wasm-polyfill
How does the performance of webgpu-torch compare to compiling PyTorch to WASM with emscripten and WebGPU?
tfjs benchmarks: Environment > backend > {WASM, WebGL, CPU, WebGPU, tflite}
What are some alternatives?
llama.cpp - LLM inference in C/C++
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
wonnx - A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web
anansi - open source tooling for AI search and understanding
potatogpt - Pure Typescript, dependency free, ridiculously slow implementation of GPT2 for educational purposes
opov - Operator Overloading for Typescript with Tagged Template Literals
shumai - Fast Differentiable Tensor Library in JavaScript and TypeScript with Bun + Flashlight
tfjs - A WebGL accelerated JavaScript library for training and deploying ML models.
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator