nn_vis
pyomyo
nn_vis | pyomyo | |
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3 | 7 | |
1,045 | 125 | |
- | - | |
5.9 | 0.0 | |
4 months ago | 4 months ago | |
Python | Python | |
MIT License | MIT License |
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nn_vis
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[D] Is there a tool to visualise my neural network in real time?
In my master Thesis I did some work on visualizing a neural network. It is not trivial to show the weights in a meaningful/understandable way. https://github.com/julrog/nn_vis You need a portion of training data and it's just for fully connected layers currently. The visualization is 3D and in realtime, but it needs some preprocessing, so i'm not sure if it fits your needs at all.
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Finding important connections
I had some some success on pruning weights with adding batch normalization layer between existing layer, freezing the existing layer and then and retrain the model with the batch normalization layer (training can be much shorter because of way less weights to train). Then using magnitude of the original weights with the weights from the batch normalization, you can prune the original model. You can see an example for fully connected layer in my code: https://github.com/julrog/nn_vis
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[D] Convolution Neural Network Visualization - Made with Unity 3D and lots of Code / source - stefsietz (IG)
I just made my project public on GitHub, which seems similar to yours https://github.com/julrog/nn_vis
pyomyo
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My Idea for solving Omni-Directional Treadmills
They make devices that do this sort of thing. This project might be worth looking at if you get your hands on the hardware.
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Python program hands when working with Myo armband and Servos
For context on the project, I am trying to control some servos using the Myo Armband. I am using PerlinWarp's PyoMyo library to interact with the armband (Github here: https://github.com/PerlinWarp/pyomyo).
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EMG Finger Tracking with SteamVR
I've made a getting started tutorial here which covers the basics, for finger tracking I've made 2 libraries. I recommend starting with predictor_basic in NeuroGloves which is here. For more info or help join the Discord.
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Neural finger tracking with SteamVR
I'm slowly cleaning up and open sourcing the project, starting with the driver, pyomyo which everything builds upon, that's available here, which includes an example of using it to play Breakout.
I'm using EMG for this with the Thalmic Labs Myo, I had to make a new library for this device which I've open sourced here.
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PyoMyo - Python Opensource Myo library
Cross platform and multithreaded and works without the Myo SDK. GitHub link
What are some alternatives?
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
opengloves-driver - An OpenVR Driver for VR Gloves
nn-visualizer
large-lightfields-dataset - A Synthetic Immersive Large-Volume Plenoptic Dataset
dogfight-sandbox-hg2 - Air to air combat sandbox, created in Python 3 using the HARFANG 3D 2 framework.
brainflow - BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
OpenXR-SDK-Source - Sources for OpenXR loader, basic API layers, and example code.
EyeTrackVR - Open Source and Affordable, Virtual Reality Eye Tracking Platform.
rf2_video_settings - Create presets of your rFactor 2 settings and quickly change between performance focused VR setup or an eye-candy favoured Replay setup.
Longhand - Text corpora in virtual reality
WeightVis - Visualize neural network weights from different kind of libraries