Efficient-VDVAE
HyperGAN
Efficient-VDVAE | HyperGAN | |
---|---|---|
8 | 2 | |
184 | 1,190 | |
- | 0.1% | |
0.0 | 0.0 | |
almost 2 years ago | over 1 year ago | |
Python | Python | |
MIT License | MIT License |
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Efficient-VDVAE
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Efficient-VDVAE: A SOTA open-source memory-efficient and stable very deep hierarchical VAE
Paper: https://arxiv.org/abs/2203.13751
- Show HN: Efficient-VDVAE an Open-source memory-efficient deep hierarchical VAE
- Efficient-VDVAE:Open-source memory-efficient deep hierarchical VAE
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[R] Efficient-VDVAE: An open-source memory-efficient and stable very deep hierarchical VAE
Code for https://arxiv.org/abs/2203.13751 found: https://github.com/Rayhane-mamah/Efficient-VDVAE
HyperGAN
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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.
What are some alternatives?
disentangling-vae - Experiments for understanding disentanglement in VAE latent representations
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
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
hifigan-denoiser - HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks
transferlearning - Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
code-representations-ml-brain - [NeurIPS 2022] "Convergent Representations of Computer Programs in Human and Artificial Neural Networks" by Shashank Srikant*, Benjamin Lipkin*, Anna A. Ivanova, Evelina Fedorenko, Una-May O'Reilly.
DETReg - Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
student-teacher-anomaly-detection - Student–Teacher Anomaly Detection with Discriminative Latent Embeddings
pytorch-pretrained-BigGAN - 🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
ALAE - [CVPR2020] Adversarial Latent Autoencoders