opov
requests-wasm-polyfill
| opov | requests-wasm-polyfill | |
|---|---|---|
| 1 | 1 | |
| 11 | 9 | |
| - | - | |
| 3.3 | 10.0 | |
| 12 months ago | 3 months ago | |
| JavaScript | Python | |
| - | - |
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.
opov
-
PyTorch Primitives in WebGPU for the Browser
I got nerdsniped and made a small library to test this concept. Might maintain
https://github.com/crubier/opov
requests-wasm-polyfill
-
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?
benchmark - TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
potatogpt - Pure Typescript, dependency free, ridiculously slow implementation of GPT2 for educational purposes
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
anansi - open source tooling for AI search and understanding
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
llama.cpp - LLM inference in C/C++
tfjs - A WebGL accelerated JavaScript library for training and deploying ML models.
wonnx - A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web