Best AI tools for< Adversarial Machine Learning Researcher >

Ai Prompt Search is a website that provides users with a search engine for AI art prompts. The website includes prompts for various AI art models, including Stable Diffusion, Midjourney, and Openjourney. Users can search for prompts by topic, such as anime, fashion, architecture, landscapes, interior design, 3D renders, and character design. The website also includes a section with frequently asked questions about AI art prompts.

Amazon Science is a research and development organization within Amazon that focuses on developing new technologies and products in the fields of artificial intelligence, machine learning, and computer science. The organization is home to a team of world-renowned scientists and engineers who are working on a wide range of projects, including developing new algorithms for machine learning, building new computer vision systems, and creating new natural language processing tools. Amazon Science is also responsible for developing new products and services that use these technologies, such as the Amazon Echo and the Amazon Fire TV.

SDXL Turbo is a cutting-edge text-to-image generation model that leverages Adversarial Diffusion Distillation (ADD) technology for high-quality, real-time image synthesis. Developed by Stability AI, SDXL Turbo is a distilled version of the SDXL 1.0 model, specifically trained for real-time synthesis. It excels in generating photorealistic images from text prompts in a single network evaluation, making it ideal for applications demanding speed and efficiency, such as video games, virtual reality, and instant content creation. SDXL Turbo is accessible to both professionals and hobbyists alike, with simple setup requirements and an intuitive interface. It presents unparalleled opportunities for research and development in advanced AI and image synthesis.

Undress AI Pro is a controversial computer vision application that uses machine learning to remove clothing from images of people. It was based on deep learning and generative adversarial networks (GANs). The technology powering Undress AI and DeepNude was based on deep learning and generative adversarial networks (GANs). GANs involve two neural networks competing against each other - a generator creates synthetic images trying to mimic the training data, while a discriminator tries to distinguish the real images from the generated ones. Through this adversarial process, the generator learns to produce increasingly realistic outputs. For Undress AI, the GAN was trained on a dataset of nude and clothed images, allowing it to "unclothe" people in new images by generating the nudity.

This Person Does Not Exist is a website that generates random, realistic faces of people who do not exist. The website uses a neural network called StyleGAN, developed by Nvidia, to create these faces. StyleGAN is a generative adversarial network (GAN), which is a type of machine learning algorithm that can generate new data from a given dataset. In the case of StyleGAN, the dataset is a collection of images of human faces. The GAN is trained on this dataset, and it learns to generate new faces that are realistic and indistinguishable from real faces.

The website is an AI Anime Generator that allows users to easily create anime art from text descriptions or photos. Users can generate anime-style artwork in seconds with just one click. The AI Anime Generator is based on machine learning models trained on a large dataset of anime-style images, leveraging generative adversarial networks and deep learning techniques to create realistic and visually appealing anime art.

Metaphysic is an AI-powered platform that allows users to create realistic and engaging synthetic media, including images, videos, and avatars. The platform is powered by a variety of AI technologies, including generative adversarial networks (GANs), deep learning, and computer vision. Metaphysic's mission is to make AI accessible and affordable for everyone, and to empower creators to tell their stories in new and innovative ways.

The Generative Press is a website that uses artificial intelligence to generate news articles. The AI personalities that write the articles surf Twitter and popular news sites, as well as read the latest tweets by verified citizen journalists, to learn about the latest happenings. The AI personalities then write the news articles after gathering all the context. The website is automated from beginning to end, with no editorial team or human intervention.

UnrealMeal.ai is a revolutionary AI-powered platform that transforms the culinary experience. Our cutting-edge technology empowers users to create mouthwatering dishes with ease, explore a vast recipe library, and receive personalized recommendations based on their preferences. With UnrealMeal.ai, home cooks and professional chefs alike can unlock their culinary potential and embark on a delightful gastronomic journey.

Archsynth is an AI-powered tool that helps architects and designers convert their sketches into realistic renders in seconds. It uses cutting-edge technology to enhance efficiency and image quality, allowing users to save time and money. With Archsynth, users can transform their ideas into stunning visuals effortlessly, explore multiple variations, and fine-tune their style with prebuilt templates. Trusted by over 14,000 architects, Archsynth is the #1 AI tool for architecture visualization.

Photo AI is an AI-powered photo generator that allows users to create realistic images of people from scratch. With Photo AI, you can create photos of yourself, your friends, or even celebrities in any pose, place, or action. You can also use Photo AI to generate fashion designs, create videos, and more. Photo AI is easy to use and requires no prior experience with photo editing or graphic design. Simply upload a few photos of yourself, and Photo AI will create a custom AI model that you can use to generate photos. You can then use the AI model to generate as many photos as you want, in any style or setting. Photo AI is a powerful tool that can be used for a variety of creative projects. Whether you're a professional photographer, a social media influencer, or just someone who loves to take photos, Photo AI can help you create amazing images that will wow your audience.

Shield AI is a defense technology company building the world's best AI pilot, Hivemind, to enable swarms of drones and aircraft to operate autonomously without GPS, communications, or a pilot. Their mission is to protect service members and civilians with intelligent systems. Hivemind is a top gun for every aircraft, more than just preset behaviors and waypoints. Like a human pilot, Hivemind reads and reacts to the battlefield and does not require GPS, waypoints, or prior knowledge to make decisions. It is the first and only fully autonomous AI pilot deployed in combat since 2018. From indoor building clearance with quadcopters to integrated air defense breach with fixed-wing drones and F-16 dogfights, Hivemind learns and autonomously executes missions. Shield AI also offers V-BAT teams, which enable multiple V-BATs to autonomously execute missions in electronically contested environments while reading and reacting to adversaries, the environment, and the other V-BATs executing the mission. V-BAT is combat-tested and deployed since 2018, and it flies in a class of its own. It's the most tactical, most logistically simple VTOL aircraft in the world, capable of executing group 2 to group 5 mission sets. It is the UAS of choice for US and allied forces. Nova 2 is built for the future fight and has proven its value in close-quarters combat with the most demanding customers in the world – on the most high-profile missions. Hivemind gives Nova 2 full autonomy - no GPS, no comms, no pilot needed.

DaVinciFace is an AI software that utilizes Deep Learning technology to generate DaVinci-styled portraits from any human face photo. The software is based on Generative Adversarial Network (GAN) technology, with over 500 million parameters for training the network. It takes less than 2 minutes to create a DaVinci-style portrait, awakening the spirit of Leonardo DaVinci in modern times.

NeuralBlender is a web-based application that allows users to create unique and realistic images using artificial intelligence. The application uses a generative adversarial network (GAN) to generate images from scratch, or to modify existing images. NeuralBlender is easy to use, and does not require any prior experience with artificial intelligence or image editing. Users simply need to upload an image or select a style, and the application will generate a new image based on the input. NeuralBlender can be used to create a wide variety of images, including landscapes, portraits, and abstract art. The application is also capable of generating images that are realistic, stylized, or even surreal.

Gan AI Playground is an online platform that offers a suite of AI-powered tools and applications for creative professionals, artists, and hobbyists. The platform leverages cutting-edge Generative Adversarial Networks (GANs) to enable users to generate, manipulate, and explore digital art, images, and animations. With a user-friendly interface and powerful AI algorithms, Gan AI Playground empowers users to unleash their creativity and experiment with various artistic styles and techniques.

Remaker is an AI-powered creative content generator that offers a range of tools for image manipulation, face swapping, and AI-generated content creation. With Remaker, users can swap faces in photos and videos, upscale images, generate AI portraits, and create images from text prompts. The platform utilizes generative AI technology, such as Generative Adversarial Networks (GANs), to produce realistic and unique content.

iPic.Ai is an AI-powered image generator tool that brings imagination to life by instantly producing breathtaking art, illustrations, and photos. Users can transform text into extraordinary art by entering a few words and exploring the world's imagination with the AI Art Gallery. The platform offers a variety of models for fast generation and allows users to generate high-quality and unique images for various purposes such as marketing campaigns, website banners, or social media content. iPic.Ai utilizes deep learning techniques like generative adversarial networks (GANs) to create realistic and coherent images from scratch, catering to diverse applications in entertainment, design, advertising, and medical research.

DigenAI is an AI creation platform based on generative avatars. It allows users to create realistic, AI-generated avatars that can be used for a variety of purposes, such as marketing, customer service, and education. DigenAI's avatars are created using a combination of deep learning and generative adversarial networks (GANs), and they are designed to be both visually appealing and emotionally engaging.

Supermodel is an AI-powered platform that allows users to create realistic AI influencers. With Supermodel, users can choose from a variety of options to create their own unique AI character. Users can also use pre-made prompts to generate social media posts and images. Supermodel is powered by a variety of AI technologies, including generative adversarial networks (GANs) and natural language processing (NLP).

Adversa AI is a platform that provides Secure AI Awareness, Assessment, and Assurance solutions for various industries to mitigate AI risks. The platform focuses on LLM Security, Privacy, Jailbreaks, Red Teaming, Chatbot Security, and AI Face Recognition Security. Adversa AI helps enable AI transformation by protecting it from cyber threats, privacy issues, and safety incidents. The platform offers comprehensive research, advisory services, and expertise in the field of AI security.

Awesome MLSecOps is a curated list of open-source tools, resources, and tutorials for MLSecOps (Machine Learning Security Operations). It includes a wide range of security tools and libraries for protecting machine learning models against adversarial attacks, as well as resources for AI security, data anonymization, model security, and more. The repository aims to provide a comprehensive collection of tools and information to help users secure their machine learning systems and infrastructure.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

AI-Security-and-Privacy-Events is a curated list of academic events focusing on AI security and privacy. It includes seminars, conferences, workshops, tutorials, special sessions, and covers various topics such as NLP & LLM Security, Privacy and Security in ML, Machine Learning Security, AI System with Confidential Computing, Adversarial Machine Learning, and more.

LearnOpenCV is a repository containing code for Computer Vision, Deep learning, and AI research articles shared on the blog LearnOpenCV.com. It serves as a resource for individuals looking to enhance their expertise in AI through various courses offered by OpenCV. The repository includes a wide range of topics such as image inpainting, instance segmentation, robotics, deep learning models, and more, providing practical implementations and code examples for readers to explore and learn from.

OpenRL is an open-source general reinforcement learning research framework that supports training for various tasks such as single-agent, multi-agent, offline RL, self-play, and natural language. Developed based on PyTorch, the goal of OpenRL is to provide a simple-to-use, flexible, efficient and sustainable platform for the reinforcement learning research community. It supports a universal interface for all tasks/environments, single-agent and multi-agent tasks, offline RL training with expert dataset, self-play training, reinforcement learning training for natural language tasks, DeepSpeed, Arena for evaluation, importing models and datasets from Hugging Face, user-defined environments, models, and datasets, gymnasium environments, callbacks, visualization tools, unit testing, and code coverage testing. It also supports various algorithms like PPO, DQN, SAC, and environments like Gymnasium, MuJoCo, Atari, and more.

The UvA Deep Learning Tutorials repository contains a series of Jupyter notebooks designed to help understand theoretical concepts from lectures by providing corresponding implementations. The notebooks cover topics such as optimization techniques, transformers, graph neural networks, and more. They aim to teach details of the PyTorch framework, including PyTorch Lightning, with alternative translations to JAX+Flax. The tutorials are integrated as official tutorials of PyTorch Lightning and are relevant for graded assignments and exams.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

This repository is a collection of papers on Generative AI Machine Unlearning, categorized based on modality and applications. It includes datasets, benchmarks, and surveys related to unlearning scenarios in generative AI. The repository aims to provide a comprehensive overview of research in the field of machine unlearning for generative models.

Adversarial Robustness Toolbox (ART) is a Python library for Machine Learning Security. ART provides tools that enable developers and researchers to defend and evaluate Machine Learning models and applications against the adversarial threats of Evasion, Poisoning, Extraction, and Inference. ART supports all popular machine learning frameworks (TensorFlow, Keras, PyTorch, MXNet, scikit-learn, XGBoost, LightGBM, CatBoost, GPy, etc.), all data types (images, tables, audio, video, etc.) and machine learning tasks (classification, object detection, speech recognition, generation, certification, etc.).

AI-resources is a repository containing links to various resources for learning Artificial Intelligence. It includes video lectures, courses, tutorials, and open-source libraries related to deep learning, reinforcement learning, machine learning, and more. The repository categorizes resources for beginners, average users, and advanced users/researchers, providing a comprehensive collection of materials to enhance knowledge and skills in AI.

LLM4Opt is a collection of references and papers focusing on applying Large Language Models (LLMs) for diverse optimization tasks. The repository includes research papers, tutorials, workshops, competitions, and related collections related to LLMs in optimization. It covers a wide range of topics such as algorithm search, code generation, machine learning, science, industry, and more. The goal is to provide a comprehensive resource for researchers and practitioners interested in leveraging LLMs for optimization tasks.

Academic_LLM_Sec_Papers is a curated collection of academic papers related to LLM Security Application. The repository includes papers sorted by conference name and published year, covering topics such as large language models for blockchain security, software engineering, machine learning, and more. Developers and researchers are welcome to contribute additional published papers to the list. The repository also provides information on listed conferences and journals related to security, networking, software engineering, and cryptography. The papers cover a wide range of topics including privacy risks, ethical concerns, vulnerabilities, threat modeling, code analysis, fuzzing, and more.

Awesome LLM Security is a curated collection of tools, documents, and projects related to Large Language Model (LLM) security. It covers various aspects of LLM security including white-box, black-box, and backdoor attacks, defense mechanisms, platform security, and surveys. The repository provides resources for researchers and practitioners interested in understanding and safeguarding LLMs against adversarial attacks. It also includes a list of tools specifically designed for testing and enhancing LLM security.

Slideflow is a deep learning library for digital pathology, offering a user-friendly interface for model development. It is designed for medical researchers and AI enthusiasts, providing an accessible platform for developing state-of-the-art pathology models. Slideflow offers customizable training pipelines, robust slide processing and stain normalization toolkit, support for weakly-supervised or strongly-supervised labels, built-in foundation models, multiple-instance learning, self-supervised learning, generative adversarial networks, explainability tools, layer activation analysis tools, uncertainty quantification, interactive user interface for model deployment, and more. It supports both PyTorch and Tensorflow, with optional support for Libvips for slide reading. Slideflow can be installed via pip, Docker container, or from source, and includes non-commercial add-ons for additional tools and pretrained models. It allows users to create projects, extract tiles from slides, train models, and provides evaluation tools like heatmaps and mosaic maps.

A comprehensive repository focusing on 'Model Merging in LLMs, MLLMs, and Beyond', providing an exhaustive overview of model merging methods, theories, applications, and future research directions. The repository covers various advanced methods, applications in foundation models, different machine learning subfields, and tasks like pre-merging methods, architecture transformation, weight alignment, basic merging methods, and more.

The 'awesome-sound_event_detection' repository is a curated reading list focusing on sound event detection and Sound AI. It includes research papers covering various sub-areas such as learning formulation, network architecture, pooling functions, missing or noisy audio, data augmentation, representation learning, multi-task learning, few-shot learning, zero-shot learning, knowledge transfer, polyphonic sound event detection, loss functions, audio and visual tasks, audio captioning, audio retrieval, audio generation, and more. The repository provides a comprehensive collection of papers, datasets, and resources related to sound event detection and Sound AI, making it a valuable reference for researchers and practitioners in the field.

Adversarial AI expert aiding in AI red teaming, informed by cutting-edge industry research (early dev)