tensorflow-onnx
optimizer
| tensorflow-onnx | optimizer | |
|---|---|---|
| 7 | 2 | |
| 2,214 | 589 | |
| 2.0% | 3.4% | |
| 7.1 | 6.1 | |
| 12 days ago | about 2 months ago | |
| Jupyter Notebook | C++ | |
| Apache License 2.0 | 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.
tensorflow-onnx
-
Operationalize TensorFlow Models With ML.NET
The easiest way to transform the downloaded TensorFlow model to an ONNX model is to use the tool tf2onnx from https://github.com/onnx/tensorflow-onnx
-
Which models can be converted to ONNX?
But I found that there are limitation in practice. For instance, I found that the conversion of this model to ONNX fails when using tf2onnx.
-
10$ Full Body Tracking! I'm proud to release ToucanTrack (in Beta!). Get decent FBT with the power of 2 PS3 Eye Cameras and AI!
They come in the form of tflite models, so I had to convert them to onnx. I used tf2onnx for converting the pose landmark model and tflite2tensorflow for converting the pose detection model. For improving performance, I had created a small script which modified the landmark models for supporting batch inference. This script is not included in the repository, but do tell me if you need it!
-
Auto Annotation using ONNX and YOLOv7 model (Object Detection)
pb to ONNX Follow tensorflow-onnx:- https://github.com/onnx/tensorflow-onnx
- Can you inference a .tflite model file using Pytorch mobile?
-
💊Your daily dose of machine learning : converting deep learning models to ONNX format
You can learn more about this tool on their github repo : https://github.com/onnx/tensorflow-onnx
optimizer
-
Operationalize TensorFlow Models With ML.NET
If you happen to start with an ONNX model that you still want to optimize, then you can use the official ONNX optimizer tool https://github.com/onnx/optimizer.
- replika-research/how_we_moved_from_openai.pdf at master · lukalabs/replika-research
What are some alternatives?
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
replika-research - Replika.ai Research Papers, Posters, Slides & Datasets
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.
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite
CFU-Playground - Want a faster ML processor? Do it yourself! -- A framework for playing with custom opcodes to accelerate TensorFlow Lite for Microcontrollers (TFLM). . . . . . Online tutorial: https://google.github.io/CFU-Playground/ For reference docs, see the link below.
deepo - Setup and customize deep learning environment in seconds.
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
Operationalize.ML.NET
infery-examples - A collection of demo-apps and inference scripts for various deep learning frameworks using infery (Python).
algobot - Cryptocurrency trading bot with a graphical user interface with support for simulations, backtests, optimizations, and running live bots.