PERSIA
tch-rs
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| PERSIA | tch-rs | |
|---|---|---|
| 3 | 37 | |
| 381 | 3,800 | |
| 2.1% | - | |
| 0.0 | 7.7 | |
| 2 months ago | about 2 months ago | |
| Rust | Rust | |
| MIT License | Apache License 2.0 |
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.
PERSIA
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Researchers Introduce ‘PERSIA’: A PyTorch-Based System for Training Large Scale Deep Learning Recommendation Models up to 100 Trillion Parameters
Github: https://github.com/persiaml/persia
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[R] Kwai, Kuaishou & ETH Zürich Propose PERSIA, a Distributed Training System That Supports Deep Learning-Based Recommenders of up to 100 Trillion Parameters
Code for https://arxiv.org/abs/2111.05897 found: https://github.com/PersiaML/Persia
The code is available on the project’s GitHub. The paper PERSIA: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters is on arXiv.
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?
tangram - Tangram is an all-in-one automated machine learning framework. [Moved to: https://github.com/tangramdotdev/tangram]
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
spotlight - Deep recommender models using PyTorch.
candle - Minimalist ML framework for Rust
ml-surveys - 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
cbindgen - A project for generating C bindings from Rust code
batched-fn - 🦀 Rust server plugin for deploying deep learning models with batched prediction
wtpsplit - Code for Where's the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence Segmentation
bastionlab - A simple framework for privacy-friendly data science collaboration
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.
bagua - Bagua Speeds up PyTorch
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]