wtpsplit
tch-rs
| wtpsplit | tch-rs | |
|---|---|---|
| 1 | 37 | |
| 499 | 3,860 | |
| - | - | |
| 7.4 | 7.5 | |
| 4 days ago | 6 days ago | |
| Python | Rust | |
| MIT License | Apache License 2.0 |
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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.
wtpsplit
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Typo correction using NLP
Source: I'm the author of nlprule and nnsplit which are quite well used for grammatical error correction and sentence boundary detection, respectively.
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?
SymSpell - SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
tangram - Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.
candle - Minimalist ML framework for Rust
NLP-progress - Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
cbindgen - A project for generating C bindings from Rust code
tangram - Tangram is an all-in-one automated machine learning framework. [Moved to: https://github.com/tangramdotdev/tangram]
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.
nlprule - A fast, low-resource Natural Language Processing and Text Correction library written in Rust.
rustlearn - Machine learning crate for Rust
UnicornConsole - Unicorn Console: create quick fantasy game in Rust/Python/Lua/Rhai/Wasm !
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]