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Top 23 Onnxruntime Open-Source Projects
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FastDeploy
⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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optimum
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
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RapidOCR
Awesome OCR multiple programing languages toolkits based on ONNXRuntime, OpenVION and PaddlePaddle.
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x-stable-diffusion
Real-time inference for Stable Diffusion - 0.88s latency. Covers AITemplate, nvFuser, TensorRT, FlashAttention. Join our Discord communty: https://discord.com/invite/TgHXuSJEk6
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Image-Processing-Node-Editor
処理の検証や比較検討での用途を想定したノードエディターベースの画像処理アプリ(A node editor-based image processing application intended for use in processing verification and comparison studies)
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vs-mlrt
Efficient CPU/GPU/Vulkan ML Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2/v3, Real-CUGAN, RIFE, SCUNet and more!)
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distributed-inference
A project to demonstrate an approach to designing cross-language and distributed pipeline in deep learning/machine learning domain, using WebRTC and Redis Streams.
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Project mention: [D] Object detection models that can be easily converted to CoreML | /r/MachineLearning | 2023-07-25
Project mention: FastEmbed: Fast and Lightweight Embedding Generation for Text | dev.to | 2024-02-02Shout out to Huggingface's Optimum – which made it easier to quantize models.
To solve this, we built a native extension in Edge Runtime that enables using ONNX runtime via the Rust interface. This was made possible thanks to an excellent Rust wrapper called Ort:
You can find LLM models in the onnx format here: https://github.com/tpoisonooo/llama.onnx
or whatever you want, you need to write the code yourself though. https://github.com/AmusementClub/vs-mlrt
Project mention: OnnxStack v0.9.0 Released - Realtime Stable Diffusion [Windows] [NoPython] | /r/StableDiffusion | 2023-11-25
Project mention: Show HN: OfflineLLM – a Vision Pro app running TinyLlama on device | news.ycombinator.com | 2024-03-01llama.cpp at core, openai compatible API, function call support, multimodal model support, Metal support. All platforms incl. web, but WASM is slow, def. not worth it except as a proof of concept.
- FONNX: https://github.com/Telosnex/fonnx
Project mention: How to create YOLOv8-based object detection web service using Python, Julia, Node.js, JavaScript, Go and Rust | dev.to | 2023-05-13github.com/yalue/onnxruntime_go - ONNX runtime library bindings for Golang
Project mention: Implementing Natural Conversational Agents with Elixir | news.ycombinator.com | 2024-04-18
Project mention: How to create YOLOv8-based object detection web service using Python, Julia, Node.js, JavaScript, Go and Rust | dev.to | 2023-05-13ONNXRuntime - this is the Julia bindings for ONNX runtime library.
Onnxruntime related posts
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Oracle-samples/sd4j: Stable Diffusion pipeline in Java using ONNX Runtime
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Convert Pegasus model to ONNX [Discussion]
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Convert Pegasus model to ONNX
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[P] What we learned by benchmarking TorchDynamo (PyTorch team), ONNX Runtime and TensorRT on transformers model (inference)
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AlphaZero-Like AI for Playing Ultimate Tic-Tac-Toe in the Browser
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[P] uttt.ai: AlphaZero-like solution for playing Ultimate Tic-Tac-Toe in the browser
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[P] First ever tuto to perform *GPU* quantization on 🤗 Hugging Face transformer models -> 2X faster inference
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A note from our sponsor - SaaSHub
www.saashub.com | 4 May 2024
Index
What are some of the best open-source Onnxruntime projects? This list will help you:
Project | Stars | |
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1 | Deep Java Library (DJL) | 3,853 |
2 | FastDeploy | 2,715 |
3 | mmdeploy | 2,524 |
4 | optimum | 2,157 |
5 | RapidOCR | 1,990 |
6 | OpenSeeFace | 1,318 |
7 | Paddle2ONNX | 650 |
8 | ort | 565 |
9 | x-stable-diffusion | 546 |
10 | fastT5 | 540 |
11 | Image-Processing-Node-Editor | 437 |
12 | llama.onnx | 324 |
13 | onnxruntime-rs | 260 |
14 | vs-mlrt | 232 |
15 | graphsignal-python | 200 |
16 | OnnxStack | 153 |
17 | fonnx | 149 |
18 | sd4j | 143 |
19 | onnxruntime_go | 112 |
20 | ortex | 95 |
21 | utttai | 49 |
22 | distributed-inference | 46 |
23 | ONNXRunTime.jl | 41 |
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