The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Top 23 Python Onnx Projects
-
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.
-
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/
-
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.
-
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.
-
yolov7_d2
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
-
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.
-
3DDFA_V2
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
-
X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
-
optimum
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
-
sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
-
anylabeling
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!!
-
AnimeGANv3
Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.
-
gen-efficientnet-pytorch
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
-
inference
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models. (by roboflow)
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Ref https://www.youtube.com/watch?v=0GwnxFNfZhM https://github.com/ultralytics/yolov5 https://dev.to/gfstealer666/kaaraich-yolo-alkrithuemainkaartrwcchcchabwatthu-object-detection-3lef https://www.kaggle.com/datasets/devdgohil/the-oxfordiiit-pet-dataset/data
Project mention: Search for anything ==> Immich fails to download textual.onnx | /r/immich | 2023-09-15
Project mention: Fast Llama 2 on CPUs with Sparse Fine-Tuning and DeepSparse | news.ycombinator.com | 2023-11-23Interesting company. Yannic Kilcher interviewed Nir Shavit last year and they went into some depth: https://www.youtube.com/watch?v=0PAiQ1jTN5k DeepSparse is on GitHub: https://github.com/neuralmagic/deepsparse
Project mention: New models and developer products announced at OpenAI DevDay | news.ycombinator.com | 2023-11-06>How do you detect speech starting and stopping?
https://github.com/snakers4/silero-vad
Project mention: [D] Object detection models that can be easily converted to CoreML | /r/MachineLearning | 2023-07-25
Project mention: X-AnyLabeling: Effortless Data Labeling with AI, Segment Anything and Others | news.ycombinator.com | 2024-03-19
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.
Project mention: AnyLabeling Auto-labeling with MobileSAM - the newest and fastest variant of Segment Anything | /r/computervision | 2023-06-28Check out AnyLabeling v0.3.2 today: https://github.com/vietanhdev/anylabeling/releases/tag/v0.3.2.
Project mention: suggest me a good hcaptcha solver with best motion data and doesn't lock my tokens | /r/Discord_selfbots | 2023-05-14
Yeah, inference[1] is our open source package for running locally (either directly in Python or via a Docker container). It works with all the models on Universe, models you train yourself (assuming we support the architecture; we have a bunch of notebooks available[2]), or train in our platform, plus several more general foundation models[3] (for things like embeddings, zero-shot detection, question answering, OCR, etc).
We also have a hosted API[4] you can hit for most models we support (except some of the large vision models that are really GPU-heavy) if you prefer.
[1] https://github.com/roboflow/inference
[2] https://github.com/roboflow/notebooks
[3] https://inference.roboflow.com/foundation/about/
[4] https://docs.roboflow.com/deploy/hosted-api
Project mention: Help Needed: Converting PlantNet-300k Pretrained Model Weights from Tar to h5 Format Help | /r/learnpython | 2023-06-09It's almost certainly a pickled pytorch model so you will first need to load it using pytorch and then write it out to h5 (legacy keras format) with https://github.com/gmalivenko/pytorch2keras.
Python Onnx related posts
- จำแนกสายพันธ์ุหมากับแมวง่ายๆด้วยYoLoV5
- FastEmbed: Fast and Lightweight Embedding Generation for Text
- [D] What offline TTS Model is good enough for a realistic real-time task?
- Mamba-Chat: A Chat LLM based on State Space Models
- Fast Llama 2 on CPUs with Sparse Fine-Tuning and DeepSparse
- Nebuly – The LLM Analytics Platform
- JAX – NumPy on the CPU, GPU, and TPU, with great automatic differentiation
-
A note from our sponsor - WorkOS
workos.com | 24 Apr 2024
Index
What are some of the best open-source Onnx projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | yolov5 | 46,738 |
2 | clip-as-service | 12,181 |
3 | YOLOX | 9,005 |
4 | MMdnn | 5,782 |
5 | PINTO_model_zoo | 3,262 |
6 | yolov7_d2 | 3,129 |
7 | deepsparse | 2,866 |
8 | silero-vad | 2,780 |
9 | 3DDFA_V2 | 2,777 |
10 | mmdeploy | 2,502 |
11 | X-AnyLabeling | 2,416 |
12 | optimum | 2,132 |
13 | sparseml | 1,974 |
14 | anylabeling | 1,840 |
15 | AnimeGANv3 | 1,568 |
16 | gen-efficientnet-pytorch | 1,559 |
17 | hcaptcha-challenger | 1,411 |
18 | OpenSeeFace | 1,312 |
19 | onnx-tensorflow | 1,234 |
20 | inference | 1,022 |
21 | onnxmltools | 936 |
22 | pytorch2keras | 846 |
23 | nncf | 771 |
Sponsored