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Top 23 Python Onnx Projects
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There are several implementations of the YOLO algorithm available, but for ease-of-use, we will use the Ultralytics implementation in this guide. We will implement and test the code locally and then deploy to Koyeb's GPUs for higher inference speed.
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
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MMdnn
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
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Project mention: AI Voice Agents: Opensource, Pre-Trained Voice Activity Detector | news.ycombinator.com | 2024-07-28
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X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
Project mention: X-AnyLabeling: Effortless Data Labeling with AI, Segment Anything and Others | news.ycombinator.com | 2024-03-19 -
PINTO_model_zoo
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
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SaaSHub
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yolov7_d2
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
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3DDFA_V2
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
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optimum
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
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anylabeling
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!
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sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
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AnimeGANv3
Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.
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gen-efficientnet-pytorch
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
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inference
Turn any computer or edge device into a command center for your computer vision projects. (by roboflow)
Project mention: Smart Waste Solutions: Integrating AI in Next-Gen Waste Sorting | dev.to | 2024-08-29Install packages required for running the inference. You can run the trained model Inference. This document is not meant to explain Ultralytics YOLO model training & various ways of optimizing inferences for your custom use-cases & requirements using Roboflow or Ultralytics HUB Inference . The Waste Category Predictor (AI Model) predicts the waste type and sends the signal to Arduino.
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Kokoro-FastAPI
Dockerized FastAPI wrapper for Kokoro-82M text-to-speech model w/CPU ONNX and NVIDIA GPU PyTorch support, handling, and auto-stitching
or run a kokoro tts docker container on your own hardware, the hw requirements aren't crazy: https://github.com/remsky/Kokoro-FastAPI
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Python Onnx discussion
Python Onnx related posts
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📝✨ClearText
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AI Voice Agents: Opensource, Pre-Trained Voice Activity Detector
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Show HN: Voice bots with 500ms response times
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Instant ONNX export for ML inference
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Vendor Jax, NumPy or PyTorch code automatically with ONNX using ndonnx
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Exporting Array API Code to ONNX
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SamGIS - Segment Anything applied to GIS
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A note from our sponsor - SaaSHub
www.saashub.com | 8 Feb 2025
Index
What are some of the best open-source Onnx projects in Python? This list will help you:
# | Project | Stars |
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1 | yolov5 | 52,194 |
2 | clip-as-service | 12,528 |
3 | YOLOX | 9,617 |
4 | MMdnn | 5,805 |
5 | silero-vad | 4,935 |
6 | X-AnyLabeling | 4,741 |
7 | PINTO_model_zoo | 3,684 |
8 | yolov7_d2 | 3,124 |
9 | deepsparse | 3,094 |
10 | 3DDFA_V2 | 2,944 |
11 | mmdeploy | 2,837 |
12 | optimum | 2,723 |
13 | anylabeling | 2,510 |
14 | sparseml | 2,100 |
15 | AnimeGANv3 | 1,803 |
16 | gen-efficientnet-pytorch | 1,568 |
17 | OpenSeeFace | 1,506 |
18 | inference | 1,470 |
19 | onnx-tensorflow | 1,291 |
20 | onnxmltools | 1,047 |
21 | Kokoro-FastAPI | 1,181 |
22 | nncf | 967 |
23 | pytorch2keras | 858 |