tensorboard
TensorFlow's Visualization Toolkit (by tensorflow)
models
A collection of pre-trained, state-of-the-art models in the ONNX format (by onnx)
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| tensorboard | models | |
|---|---|---|
| 11 | 7 | |
| 6,539 | 7,192 | |
| 0.9% | 3.6% | |
| 9.4 | 4.8 | |
| 7 days ago | 8 days ago | |
| TypeScript | Jupyter Notebook | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
tensorboard
Posts with mentions or reviews of tensorboard.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-27.
- Tensorboard
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[D] Visualizing layer weights
Some form of 3D histograms? And then "discretized"/binned for each layer too. Apparently Tensorboard has them: https://github.com/tensorflow/tensorboard/blob/master/docs/r1/histograms.md
- I think I broke PIP
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[D] Unpopular Opinion: I hate the tensorboard Smoothing algorithm and always set the slider to 0.
Consider filing an issue? https://github.com/tensorflow/tensorboard/issues
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Parts of Tensorboard are being rewritten in Rust for a 100× to 400× speedup
The async code is in our server.rs and cli.rs, because this exposes a Tonic server and Tonic is all-in on async.
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[D] Comparison of experiment tracking tools
A quick google search is telling me that this is possible but very poorly documented / communicated: https://github.com/tensorflow/tensorboard/issues/767
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📖 👆🏻 Making the Printed Links Clickable Using TensorFlow 2 Object Detection API
The cool part about TensorBoard is that we may run it directly in Google Colab. However, if you're running the notebook in your local installation of Jupyter you may also install it as Python package and launch it from the terminal.
models
Posts with mentions or reviews of models.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-23.
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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?
When comparing tensorboard and models you can also consider the following projects:
aim - Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
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
wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
netron - Visualizer for neural network, deep learning and machine learning models
labelImg - LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
onnx-tensorflow - Tensorflow Backend for ONNX
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
redisai-examples - RedisAI showcase
models - Models and examples built with TensorFlow
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
rustboard - just-for-fun reimplementation of TensorBoard backend in Rust
onnxruntime-ruby - Run ONNX models in Ruby
tensorboard vs aim
models vs SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2
tensorboard vs wandb
models vs netron
tensorboard vs labelImg
models vs onnx-tensorflow
tensorboard vs tesseract-ocr
models vs redisai-examples
tensorboard vs models
models vs TensorFlow-Examples
tensorboard vs rustboard
models vs onnxruntime-ruby