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Top 10 Python Onnxruntime Projects
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optimum
๐ Accelerate training and inference of ๐ค Transformers and ๐ค Diffusers with easy to use hardware optimization tools
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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RapidOCR
Awesome OCR multiple programing languages toolkits based on ONNXRuntime, OpenVION and PaddlePaddle.
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Image-Processing-Node-Editor
ๅฆ็ใฎๆค่จผใๆฏ่ผๆค่จใงใฎ็จ้ใๆณๅฎใใใใผใใจใใฃใฟใผใใผในใฎ็ปๅๅฆ็ใขใใช(A node editor-based image processing application intended for use in processing verification and comparison studies)
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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.
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 โ which made it easier to quantize models.
You can find LLM models in the onnx format here: https://github.com/tpoisonooo/llama.onnx
Python Onnxruntime related posts
- Convert Pegasus model to ONNX [Discussion]
- Convert Pegasus model to ONNX
- [P] What we learned by benchmarking TorchDynamo (PyTorch team), ONNX Runtime and TensorRT on transformers model (inference)
- [P] First ever tuto to perform *GPU* quantization on ๐ค Hugging Face transformer models -> 2X faster inference
- [P] boost T5 models speed up to 5x & reduce the model size by 3x using fastT5.
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A note from our sponsor - InfluxDB
www.influxdata.com | 25 Apr 2024
Index
What are some of the best open-source Onnxruntime projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | mmdeploy | 2,502 |
2 | optimum | 2,141 |
3 | RapidOCR | 1,964 |
4 | OpenSeeFace | 1,312 |
5 | Paddle2ONNX | 648 |
6 | fastT5 | 540 |
7 | Image-Processing-Node-Editor | 432 |
8 | llama.onnx | 323 |
9 | graphsignal-python | 199 |
10 | efficientnet-lite-keras | 38 |
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