- HyperGAN VS student-teacher-anomaly-detection
- HyperGAN VS dnn_from_scratch
- HyperGAN VS hifigan-denoiser
- HyperGAN VS pytorch-pretrained-BigGAN
- HyperGAN VS lightweight-gan
- HyperGAN VS DETReg
- HyperGAN VS Efficient-VDVAE
- HyperGAN VS Anime-Generation
- HyperGAN VS Deep-Exemplar-based-Video-Colorization
- HyperGAN VS ALAE
HyperGAN Alternatives
Similar projects and alternatives to HyperGAN
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student-teacher-anomaly-detection
Student–Teacher Anomaly Detection with Discriminative Latent Embeddings
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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dnn_from_scratch
A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
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hifigan-denoiser
HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks
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pytorch-pretrained-BigGAN
🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
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lightweight-gan
Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two
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DETReg
Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".
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Nutrient
Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers. Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
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Deep-Exemplar-based-Video-Colorization
The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
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HyperGAN discussion
HyperGAN reviews and mentions
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Machine learning software that generates images?
And then there's software already prebaked that can do it, but its really taxing on a pc, its called hyperGAN.
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So I trained an AI to generate Pokemon sprites and this is the result
There is something called HyperGAN which builds generative adversarial networks (GANs) and those networks take some images as input and give those as output. Here is the GitHub page for that.
Stats
HyperGAN/HyperGAN is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of HyperGAN is Python.