LibUI
models
| LibUI | models | |
|---|---|---|
| 6 | 8 | |
| 198 | 7,249 | |
| - | 2.2% | |
| 7.4 | 4.8 | |
| 15 days ago | 14 days ago | |
| Ruby | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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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.
LibUI
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Text generation with GPT-2 in Ruby
The tokenizers gem is written in Rust, so installation requires Rust. If Rust isn't available, blingfire can be used instead.
- Ruby meta-hacking: Looking under the hood (2016)
- Faster Ruby: Thoughts from the Outside — Matthew Gaudet
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Glimmer DSL for LibUI Beta Release
LibUI is a thin Ruby wrapper around libui, a relatively new C GUI library that renders native controls on every platform (similar to SWT, but without the heavy weight of the Java Virtual Machine).
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Can someone point me in the direction of the simplest way to get a ruby program to create a bitmap backed window in Linux?
Ah quick update: I think libui has everything you need
- Need help with a user interface
models
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Your 14-Day Free Trial Ain't Gonna Cut It
They're data-dependence graphs for a neural-network scheduling problem. Like this but way bigger to start with and then lowered to more detailed representations several times: https://netron.app/?url=https://github.com/onnx/models/raw/m... My home-grown layout engine can handle the 12k nodes for llama2 in its highest-level form in 20s or so, but its not the most featureful, and they only get bigger from there. So I always have an eye out for potential tools.
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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?
glimmer-dsl-tk - Glimmer DSL for Tk (Ruby Tk Desktop Development GUI Library)
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
onnxruntime-ruby - Run ONNX models in Ruby
netron - Visualizer for neural network, deep learning and machine learning models
Glimmer - DSL Framework consisting of a DSL Engine and a Data-Binding Library used in Glimmer DSL for SWT (JRuby Desktop Development GUI Framework), Glimmer DSL for Opal (Pure Ruby Web GUI), Glimmer DSL for LibUI (Prerequisite-Free Ruby Desktop Development GUI Library), Glimmer DSL for Tk (Ruby Tk Desktop Development GUI Library), Glimmer DSL for GTK (Ruby-GNOME Desktop Development GUI Library), Glimmer DSL for XML (& HTML), and Glimmer DSL for CSS
onnx-tensorflow - Tensorflow Backend for ONNX
glimmer-dsl-swt - Glimmer DSL for SWT (JRuby Desktop Development Cross-Platform Native GUI Framework) - The Quickest Way From Zero To GUI - If You Liked Shoes, You'll Love Glimmer!
redisai-examples - RedisAI showcase
blingfire-ruby - High speed text tokenization for Ruby
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
libui - Simple and portable (but not inflexible) GUI library in C that uses the native GUI technologies of each platform it supports.
tensorboard - TensorFlow's Visualization Toolkit