NeuralNetwork.NET
gan-vae-pretrained-pytorch
| NeuralNetwork.NET | gan-vae-pretrained-pytorch | |
|---|---|---|
| 1 | 1 | |
| 538 | 170 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | almost 3 years ago | |
| C# | Jupyter Notebook | |
| GNU General Public License v3.0 only | - |
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NeuralNetwork.NET
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Neural networks in C#/Unity
https://github.com/Sergio0694/NeuralNetwork.NET for example.
gan-vae-pretrained-pytorch
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DCGAN (CIFAR-10) Generating fake images is easy, but how to also output the class label (1 to 10) with the fake generated images?
I have this DCGAN model (https://github.com/csinva/gan-vae-pretrained-pytorch/tree/master/cifar10_dcgan) which generates fake Cifar-10 images. However I also want to get the intended class label output with the fake generated images. How can I do this? This model which I found only generates fake images but doesn't know what class the generated images belong to.
What are some alternatives?
TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
AvatarGAN - Generate Cartoon Images using Generative Adversarial Network
GazeTracker - Artificial intelligence tracker for OpenTrack
pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
NW.NGramTextClassification - NW.NGramTextClassification is a library to perform text classification tasks on the text snippets you provide. Text Classification is a machine learning technique that calculates the similarity between the string of text you need to categorize and a collection of already categorized strings you provide to the library.
AnimeGAN - Generating Anime Images by Implementing Deep Convolutional Generative Adversarial Networks paper
neuralnet-browser - Artificial Neural Network from scratch using Javascript on the browser
AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!
NeuralSharp - dotnet neural network & genetic alrogithm
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
JoJoGAN - Official PyTorch repo for JoJoGAN: One Shot Face Stylization