pytorch-generative-model-collections
by znxlwm
Collection of generative models in Pytorch version.
AI summary
GANs
Replication of various Generative Adversarial Networks (GANs) and their variants in PyTorch
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Similar projects
Found by comparing what the projects do, not just their names.
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A collection of PyTorch implementations of Generative Adversarial Networks for image synthesis and other applications.
Generative Models Library
A collection of software frameworks and implementations for training generative models using GANs, VAEs, RBMs, and other techniques.
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GCN model
A PyTorch implementation of a graph neural network architecture for semi-supervised classification
Graph neural network library
A PyTorch-based library for training and applying Graph Neural Networks to structured data
GAN library
A comprehensive PyTorch library providing implementations of various Generative Adversarial Networks (GANs) for image generation and evaluation.
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Graph Network Model
An implementation of the Graph Attention Network model using PyTorch.
Deep Learning Tutorials
A comprehensive tutorial project that provides code examples for learning PyTorch by implementing various deep learning models and demonstrating their usage.
GAN model
A PyTorch implementation of a Generative Adversarial Network (GAN) for discovering cross-domain relations.
Image generator library
An official PyTorch implementation of the StyleGAN2-ADA algorithm for generating images with a focus on stability and performance.
GPU tensor library
A Python library providing tensors and dynamic neural networks with strong GPU acceleration
Optical flow estimator
A deep learning framework implementing an optical flow estimation model using PyTorch.
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A deep learning framework implementing a generator architecture for generating images with controllable attributes and disentangled latent factors
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PyTorch examples
A collection of curated examples showcasing various PyTorch applications in computer vision, natural language processing, and reinforcement learning.
