numo-narray
models
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numo-narray | models | |
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3 | 7 | |
404 | 7,192 | |
0.7% | 3.6% | |
2.3 | 4.8 | |
16 days ago | 8 days ago | |
C | Jupyter Notebook | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
numo-narray
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UMAP clustering in Ruby
There are two ways to write Ruby extensions in C++. One is Rice and the other is extpp. In this case, I used Rice because I wanted to use numo.hpp to link Numo::NArray and C++.
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Text generation with GPT-2 in Ruby
numo-narray - Ruby matrix library. Equivalent to NumPy.
- Why is ruby so fvcking great?
models
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AMD Accelerates AI Adoption on Windows 11 With New Developer Tools for Ryzen AI
Uh, maybe they didn't feel the need to look. I already pointed you to the ONNX project. Here are some ONNX-based. These are just the ones being shared with the community. The limit of AMD's responsibility is writing the low-level libraries to support ONNX.
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Need Help With Darknet YOLOv4-Tiny Model In Unity Barracuda
I am new to object detection models and I need help running my object detection Darknet YOLOv4-Tiny Model In Unity Barracuda. I trained my model and then i converted it to ONNX format with 2 methods. One method was using pytorch-YOLOv4 from github and the other by converting my model to tensorflow and then to onnx and shown here: "https://github.com/onnx/models/blob/main/vision/object_detection_segmentation/yolov4/dependencies/Conversion.ipynb"
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Need Help Converting Darknet Yolov4-tiny Model to ONNX
Then i tried to convert it again using another method that i found here "https://github.com/onnx/models/blob/main/vision/object_detection_segmentation/yolov4/dependencies/Conversion.ipynb" in order to convert it from darknet to tensorflow and then to onnx but i didn't have any luck.
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Text generation with GPT-2 in Ruby
Here we use the GPT-2 model distributed by the ONNX official. Download GPT-2-LM-HEAD from the link.
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YOLOv7 object detection in Ruby in 10 minutes
Download pre-trained models from the ONNX Model Zoo
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Has anyone successfully converted an onnx model to tensorflow? Here's the problems I'm having...
Instructions to reproduce the problem: I am trying to convert a proprietary model at work but for now i'll use mobilenetv2-7.onnx to explain/reproduce the issue.
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How to identify identical frames that are not technically duplicates? Ie if I am taking a video of a car, it stops for 1 minute (and within that minute nothing changes visually), and then drives away. How would I remove all but 1 of the frames when it is stopped?
One approach could be run a pre-trained object detector (like one of these) on each frame and then a simple object tracker on top of it (like this).
What are some alternatives?
umappp - UMAP C++ implementation
SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2 - This repository contains the script and process to create custom SSD Mobilenet model for object detection
numo.hpp - C++ header for Numo and Rice
netron - Visualizer for neural network, deep learning and machine learning models
uwot - An R package implementing the UMAP dimensionality reduction method.
onnx-tensorflow - Tensorflow Backend for ONNX
onnxruntime-ruby - Run ONNX models in Ruby
redisai-examples - RedisAI showcase
ruby_decorators - Ruby method decorators inspired by Python.
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
umap - Uniform Manifold Approximation and Projection
tensorboard - TensorFlow's Visualization Toolkit