infur
tch-rs
| infur | tch-rs | |
|---|---|---|
| 2 | 37 | |
| 42 | 3,843 | |
| - | - | |
| 3.5 | 7.5 | |
| 7 months ago | 9 days ago | |
| Rust | Rust | |
| MIT License | Apache License 2.0 |
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infur
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[Help Needed] Deployment of torchscript using rust
Here's a cool example that was posted last month: https://github.com/ahirner/infur. Different front end goal, but the onnxruntime makes it easy. Tch-rs is nice as others have said as well.
- Show: Cross-platform Image segmentation on video using eGUI, onnxruntime and ffmpeg
tch-rs
- Tch-Rs
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Llama2.rs: One-file Rust implementation of Llama2
I wanted to do something like this but then I would miss on proper CUDA acceleration and lose performance compared to using torchlib.
I wrote a forgettable llama implementation for https://github.com/LaurentMazare/tch-rs (pytorch's torchlib rust binding).
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Playing Atari Games in OCaml
I first encountered OCaml's PyTorch bindings because apparently they generate a C wrapper around PyTorch's C++ API, and Rust's PyTorch bindings use OCaml's C wrapper. See: https://github.com/LaurentMazare/tch-rs
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llm: a Rust crate/CLI for CPU inference of LLMs, including LLaMA, GPT-NeoX, GPT-J and more
You could try looking at the min-GPT example of tch-rs. I'd also strongly suggest watching Karpathy's video to understand what's going on.
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Simply explained: How does GPT work?
If you pefer to see it in code there's a succint gpt implementation here https://github.com/LaurentMazare/tch-rs/blob/main/examples/m...
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Will I ever need python again if I learn rust other than for AI stuff?
Rust is fully compatible w/ C bindings, so even Python libraries written in C can be easily set up to work in Rust (and have been). For example, see PyTorch Rust bindings, which actually works faster than in Python because all of the glue code around the C++ API is in Rust instead of Python.
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A Rust client library for interacting with Microsoft Airsim https://github.com/Sollimann/airsim-client
Pytorch
- [D] HuggingFace in Julia or Rust ?
- This year I tried solving AoC using Rust, here are my impressions coming from Python!
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[Help Needed] Deployment of torchscript using rust
I have looked into this a bit and found some crates which help in loading torchscript models called tch-rs
What are some alternatives?
onnx-simplifier - Simplify your onnx model
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
candle - Minimalist ML framework for Rust
cbindgen - A project for generating C bindings from Rust code
wtpsplit - Code for Where's the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence Segmentation
veloren - An open world, open source voxel RPG inspired by Dwarf Fortress and Cube World. This repository is a mirror. Please submit all PRs and issues on our GitLab page.
rustlearn - Machine learning crate for Rust
burn - Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. [Moved to: https://github.com/Tracel-AI/burn]
linfa - A Rust machine learning framework.
tokenizers - 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
rustc_codegen_cranelift - Cranelift based backend for rustc
HikariCore - A fork of Hikari's core obfuscation