Supporting code for short YouTube series Neural Networks Demystified.

Last update: Dec 23, 2022

Overview

Neural Networks Demystified

Supporting iPython notebooks for the YouTube Series Neural Networks Demystified. I've included formulas, code, and the text of the movies in the iPython notebooks, in addition to raw code in python scripts.

iPython notebooks can be downloaded and run locally, or viewed using nbviewer: http://nbviewer.ipython.org/.

Using the iPython notebook

The iPython/Jupyter notebook is an incredible tool, but can be a little tricky to setup. I recommend the [anaconda] (https://store.continuum.io/cshop/anaconda/) distribution of python. I've written and tested this code with the the anaconda build of python 2 running on OSX. You will likely get a few warnings about contour plotting - if anyone has a fix for this, feel free to submit a pull request.

Owner

Stephen

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Supporting code for short YouTube series Neural Networks Demystified.

Related tags

Overview

Neural Networks Demystified

Using the iPython notebook

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Supporting code for short YouTube series Neural Networks Demystified.

Related tags

Overview

Neural Networks Demystified

Using the iPython notebook

Owner

Stephen

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Code for KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs

[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation

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Notebook and code to synthesize complex and highly dimensional datasets using Gretel APIs.

Open standard for machine learning interoperability

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OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

An all-in-one application to visualize multiple different local path planning algorithms

Implementation of FitVid video prediction model in JAX/Flax.

The personal repository of the work: *DanceNet3D: Music Based Dance Generation with Parametric Motion Transformer*.

Callable PyTrees and filtered JIT/grad transformations => neural networks in JAX.

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"Learning Free Gait Transition for Quadruped Robots vis Phase-Guided Controller"

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