Showing 101-120 of 147 projects
A curated list of resources for understanding and practicing offensive AI techniques.
A PyTorch library for training generative adversarial transformer models for image generation.
A Python library for unsupervised time series anomaly detection, useful for data science and ML applications.
A clean and readable PyTorch implementation of the CycleGAN generative adversarial network for image-to-image translation.
A virtual machine for adversary emulation and threat hunting, not a developer discovery platform focused on vibe coders.
Differentiable data augmentation techniques for efficient training of generative adversarial networks (GANs).
A GAN-based tool for anonymizing faces in images, useful for privacy-preserving computer vision applications.
NVlabs/alias-free-gan is a project related to generative adversarial networks (GANs) and image generation.
Introductory examples and tutorials on deep generative modeling techniques like VAEs, GANs, and score-based models.
Research paper on domain adaptation and semantic-consistent transfer learning for computer vision.
A simple PyTorch implementation of Generative Adversarial Networks for generating anime-style faces.
PyTorch implementation of Deep Reinforcement Learning algorithms like TRPO, PPO, A2C, and GAIL.
A tool for breeding and sharing images using BigGAN, a generative adversarial network (GAN) model.
This repository contains a PyTorch implementation of GIRAFFE, a generative model for representing 3D scenes as compositional neural feature fields.
A PyTorch library for implementing the SRGAN super-resolution model, useful for vibe coders working on AI-driven image processing.
A web application that assists network defenders in mapping adversary behaviors to the MITRE ATT&CK framework.
A PyTorch implementation of StyleGAN for domain adaptation, using pre-trained models to generate new images.
An implementation of the CycleGAN generative adversarial network using the TensorFlow library.
This Python repository contains code examples for machine learning, NLP, and deep learning using Keras and Theano
A composable GAN framework with API and user interface for building generative AI models.
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