Best AI tools for< License Intellectual Property >

The Personalized License Plate Generator is an AI-powered tool that allows users to create custom license plate designs. Users can input their desired text and choose from various design options to generate a unique license plate. The tool uses artificial intelligence to provide personalized suggestions and ensure that the generated plates comply with state rules and regulations. It also offers an availability checker to verify the availability of the chosen design. In addition, users can access a privacy policy and terms & conditions for using the service.

Sighthound is an AI-powered video solutions provider that specializes in solving complex video AI problems at scale. Their products, such as Sighthound ALPR+ for Automatic License Plate Recognition and Sighthound Redactor for Video Redaction, leverage deep learning technology to unlock valuable user insights, reduce operational costs, and increase revenue in the privacy and vehicle recognition space. With a focus on simplicity and customer support, Sighthound offers easy integration of their AI products through simple-to-use APIs.

NaturalReader is a text-to-speech software that converts text, PDF, and other formats into spoken audio. It is designed for personal, commercial, and educational use. NaturalReader has a variety of features, including cross-platform compatibility, an AI voice generator, and support for students with dyslexia or other learning disabilities.

CalcLeads is an AI-powered online calculator generator that allows users to easily create interactive and custom calculators for their websites without any coding skills required. The tool helps in boosting engagement, lead generation, and SEO effortlessly by providing personalized calculations and valuable insights to visitors. CalcLeads aims to enhance user experience, drive traffic, and convert visitors into leads through the use of interactive calculators.

MacWhisper is a native macOS application that utilizes OpenAI's Whisper technology for transcribing audio files into text. It offers a user-friendly interface for recording, transcribing, and editing audio, making it suitable for various use cases such as transcribing meetings, lectures, interviews, and podcasts. The application is designed to protect user privacy by performing all transcriptions locally on the device, ensuring that no data leaves the user's machine.

Rightsify is a global music licensing agency that provides music for almost every use case imaginable, with a catalog of over 10 million songs that gets heard by over one billion people every year. Rightsify's music is available for businesses worldwide, and its Hydra AI Music Model enables high-quality music production for all with full commercial rights.

Rekor is an AI-powered platform that delivers revolutionary roadway intelligence by collecting, connecting, and organizing mobility data. It offers a range of software platforms, hardware systems, and applications for urban mobility, transportation management, and public safety. Rekor's technology utilizes computer vision, edge processing, and predictive algorithms to transform data into actionable intelligence, benefiting communities and businesses on a daily basis. With a focus on security standards and data governance, Rekor provides comprehensive traffic and vehicle analytics, license plate recognition, and compliance automation solutions.

Dan. Z is a personal website for Daniel Zheng, showcasing a diverse range of content including blogs, guides, and resources. Daniel integrates advanced AI tools, particularly GPTs, into his daily routine to enhance efficiency and creativity in managing tasks. The website covers topics such as optimizing Twitter engagement, obtaining a private pilot license, understanding equity compensation in Silicon Valley, crafting a budget-friendly anti-aging routine, and analyzing financial statements for effective decision-making. With a focus on leveraging AI for everyday tasks and knowledge sharing, Dan. Z offers valuable insights and experiences for readers interested in technology, aviation, finance, and personal development.

MiniAiLive is a provider of Touchless Biometrics Authentication and ID verification solutions. They offer strong security solutions with cutting-edge technologies for facial recognition, liveness detection, and ID document recognition. MiniAiLive ensures seamless integration with clients' existing systems. The application caters to various industries and provides solutions for identity verification, biometric authentication, and fraud prevention. MiniAiLive stands out for its global coverage, configurability, speed, and accuracy in identity verification services.

icetana is an AI security video analytics software that offers safety and security analytics, forensic analysis, facial recognition, and license plate recognition. The core product uses self-learning AI for real-time event detection, connecting with existing security cameras to identify unusual or interesting events. It helps users stay ahead of security incidents with immediate alerts, reduces false alarms, and offers easy configuration and scalability. icetana AI is designed for industries such as remote guarding, hotels, safe cities, education, and mall management.

Triv is an AI-based driving platform that aims to revolutionize the way people learn to drive. It offers a flexible, accessible, and personalized learning experience, putting the power of driving education directly into the hands of users. With features such as personalized learning, real-time feedback, interactive simulations, AI-driven coaching, and online trainers, Triv provides a comprehensive platform for individuals to enhance their driving skills. The platform also offers cost-effective solutions, time-saving benefits, and a game-changing approach to driving mastery. By leveraging AI technology, Triv ensures that users can learn to drive confidently and efficiently, all at an affordable price.

Snyk is a developer security platform powered by DeepCode AI, offering solutions for application security, software supply chain security, and secure AI-generated code. It provides comprehensive vulnerability data, license compliance management, and self-service security education. Snyk integrates AI models trained on security-specific data to secure applications and manage tech debt effectively. The platform ensures developer-first security with one-click security fixes and AI-powered recommendations, enhancing productivity while maintaining security standards.

Epidemic Sound is a platform that offers a vast catalog of music and sound effects for videos, allowing users to bring their stories to life with exclusive soundtracking tools and worry-free publishing worldwide. With over 2.5 billion daily views, the platform provides access to various genres, themes, moods, and sound effects, including music by global artists like K-Pop, Lo-Fi Beats, Classical, R&B, Electronic, and Hip Hop. Epidemic Sound stands out with its innovative royalty-free license model, offering users direct licenses with all rights included globally, ensuring content creators can use the music without paying royalties. The platform also provides tailored licensing options for different content needs, including major publishers requiring soundtracks for TV, cinema, streaming, and live events.

Provectus is an Artificial Intelligence consultancy and solutions provider that helps businesses achieve their objectives through AI. They offer AI solutions that can be integrated into organizations through use case and platform approaches. Their solutions differentiate themselves by offering no license fees, open and certified architecture, cloud-native but vendor-agnostic solutions, turnkey solutions, and AI consulting and customization services. Provectus has successfully transformed industries such as insurance underwriting, digital banking, retail, healthcare, and manufacturing through their Generative AI technology.

DepsHub is an AI-powered tool designed to simplify dependency updates for software development teams. It offers automatic dependency updates, license checks, and security vulnerability scanning to ensure team security and efficiency. With noise-free dependency management, cross-repository overview, license compliance, and security alerts, DepsHub streamlines the process of keeping dependencies up-to-date. The tool leverages AI to analyze library changelogs, release notes, and codebases to automatically update dependencies, including handling breaking changes. DepsHub supports a wide range of languages and frameworks, making it suitable for teams of all sizes to save time and focus on writing code that matters.

Theoriestudio.nl is an online platform that provides a comprehensive theory course, practice tests, and mock exams to help users pass their theory exam for driving license in the Netherlands. The platform utilizes AI (Artificial Intelligence) to enhance the learning experience and improve the chances of passing the exam in one attempt. With its user-friendly interface, accessible on any device, and a supportive community, Theoriestudio.nl aims to make the process of obtaining a driving license easier and more efficient.

Pony Diffusion V6 XL is an AI tool designed for creating stunning SFW and NSFW visuals featuring various species through a text-to-image generation model. It offers an intuitive interface, community engagement, and open access license, making it ideal for artists and enthusiasts to explore creative possibilities and bring imaginative concepts to life.

MailCheetah AI is an upcoming E-Mail Marketing platform that aims to revolutionize the way businesses conduct their email marketing campaigns. It offers a range of features such as unlimited emails, contacts, campaigns, and lists, along with AI-powered email subject and content generation. The platform also includes a campaign scheduler, built-in unsubscribe functionality, and support for multiple businesses/clients. With a commercial license and 24/7 support, MailCheetah AI is designed to provide a comprehensive and cost-effective solution for businesses of all sizes.

The BBC is a British public service broadcaster. It is the world's oldest and largest broadcaster, and it produces and broadcasts a wide range of content, including news, documentaries, entertainment, and sports. The BBC is funded by a television license fee paid by UK households, and it is independent of the government and commercial interests.

NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and high-level mathematical functions to perform operations on these arrays. It is the fundamental package for scientific computing with Python and is used in a wide range of applications, including data science, machine learning, and image processing. NumPy is open source and distributed under a liberal BSD license, and is developed and maintained publicly on GitHub by a vibrant, responsive, and diverse community.

The Azure-Analytics-and-AI-Engagement repository provides packaged Industry Scenario DREAM Demos with ARM templates (Containing a demo web application, Power BI reports, Synapse resources, AML Notebooks etc.) that can be deployed in a customer’s subscription using the CAPE tool within a matter of few hours. Partners can also deploy DREAM Demos in their own subscriptions using DPoC.

AutoDev is an AI-powered coding wizard that supports multiple languages, including Java, Kotlin, JavaScript/TypeScript, Rust, Python, Golang, C/C++/OC, and more. It offers a range of features, including auto development mode, copilot mode, chat with AI, customization options, SDLC support, custom AI agent integration, and language features such as language support, extensions, and a DevIns language for AI agent development. AutoDev is designed to assist developers with tasks such as auto code generation, bug detection, code explanation, exception tracing, commit message generation, code review content generation, smart refactoring, Dockerfile generation, CI/CD config file generation, and custom shell/command generation. It also provides a built-in LLM fine-tune model and supports UnitEval for LLM result evaluation and UnitGen for code-LLM fine-tune data generation.

Clipboard Conqueror is a multi-platform omnipresent copilot alternative. Currently requiring a kobold united or openAI compatible back end, this software brings powerful LLM based tools to any text field, the universal copilot you deserve. It simply works anywhere. No need to sign in, no required key. Provided you are using local AI, CC is a data secure alternative integration provided you trust whatever backend you use. *Special thank you to the creators of KoboldAi, KoboldCPP, llamma, openAi, and the communities that made all this possible to figure out.

TTS Generation WebUI is a comprehensive tool that provides a user-friendly interface for text-to-speech and voice cloning tasks. It integrates various AI models such as Bark, MusicGen, AudioGen, Tortoise, RVC, Vocos, Demucs, SeamlessM4T, and MAGNeT. The tool offers one-click installers, Google Colab demo, videos for guidance, and extra voices for Bark. Users can generate audio outputs, manage models, caches, and system space for AI projects. The project is open-source and emphasizes ethical and responsible use of AI technology.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

This repository provides templates for software and digital work licenses that restrict usage in AI training datasets or AI technologies. It includes various license styles such as Apache, BSD, MIT, UPL, ISC, CC0, and MPL-2.0.

A massive list including a huge amount of products and services that are completely free! ⭐ Star on GitHub • 🤝 Contribute # Table of Contents * APIs, Data & ML * Artificial Intelligence * BaaS * Code Editors * Code Generation * DNS * Databases * Design & UI * Domains * Email * Font * For Students * Forms * Linux Distributions * Messaging & Streaming * PaaS * Payments & Billing * SSL

Kaito is an operator that automates the AI/ML inference model deployment in a Kubernetes cluster. It manages large model files using container images, avoids tuning deployment parameters to fit GPU hardware by providing preset configurations, auto-provisions GPU nodes based on model requirements, and hosts large model images in the public Microsoft Container Registry (MCR) if the license allows. Using Kaito, the workflow of onboarding large AI inference models in Kubernetes is largely simplified.

Vidur is a high-fidelity and extensible LLM inference simulator designed for capacity planning, deployment configuration optimization, testing new research ideas, and studying system performance of models under different workloads and configurations. It supports various models and devices, offers chrome trace exports, and can be set up using mamba, venv, or conda. Users can run the simulator with various parameters and monitor metrics using wandb. Contributions are welcome, subject to a Contributor License Agreement and adherence to the Microsoft Open Source Code of Conduct.

Azure Functions OpenAI Extension is a project that adds support for OpenAI LLM (GPT-3.5-turbo, GPT-4) bindings in Azure Functions. It provides NuGet packages for various functionalities like text completions, chat completions, assistants, embeddings generators, and semantic search. The project requires .NET 6 SDK or greater, Azure Functions Core Tools v4.x, and specific settings in Azure Function or local settings for development. It offers features like text completions, chat completion, assistants with custom skills, embeddings generators for text relatedness, and semantic search using vector databases. The project also includes examples in C# and Python for different functionalities.

last_layer is a security library designed to protect LLM applications from prompt injection attacks, jailbreaks, and exploits. It acts as a robust filtering layer to scrutinize prompts before they are processed by LLMs, ensuring that only safe and appropriate content is allowed through. The tool offers ultra-fast scanning with low latency, privacy-focused operation without tracking or network calls, compatibility with serverless platforms, advanced threat detection mechanisms, and regular updates to adapt to evolving security challenges. It significantly reduces the risk of prompt-based attacks and exploits but cannot guarantee complete protection against all possible threats.

LLMOps Workshop is a course designed to help users build, evaluate, monitor, and deploy Large Language Model solutions efficiently using Azure AI, Azure Machine Learning Prompt Flow, Content Safety, and Azure OpenAI. The workshop covers various aspects of LLMOps to help users master the process.

SuperBench is a validation and profiling tool for AI infrastructure. It provides a comprehensive set of tests and benchmarks to evaluate the performance and reliability of AI systems. The tool helps users identify bottlenecks, optimize configurations, and ensure the stability of their AI infrastructure. SuperBench is designed to streamline the validation process and improve the overall efficiency of AI deployments.

ONNX Runtime Generative AI is a library that provides the generative AI loop for ONNX models, including inference with ONNX Runtime, logits processing, search and sampling, and KV cache management. Users can call a high level `generate()` method, or run each iteration of the model in a loop. It supports greedy/beam search and TopP, TopK sampling to generate token sequences, has built in logits processing like repetition penalties, and allows for easy custom scoring.

TypeChat is a library that simplifies the creation of natural language interfaces using types. Traditionally, building natural language interfaces has been challenging, often relying on complex decision trees to determine intent and gather necessary inputs for action. Large language models (LLMs) have simplified this process by allowing us to accept natural language input from users and match it to intent. However, this has introduced new challenges, such as the need to constrain the model's response for safety, structure responses from the model for further processing, and ensure the validity of the model's response. Prompt engineering aims to address these issues, but it comes with a steep learning curve and increased fragility as the prompt grows in size.

Azure HPC On-Demand Platform (az-hop) provides an end-to-end deployment mechanism for a base HPC infrastructure on Azure. It delivers a complete HPC cluster solution ready for users to run applications, which is easy to deploy and manage for HPC administrators. az-hop leverages various Azure building blocks and can be used as-is or easily customized and extended to meet any uncovered requirements. Industry-standard tools like Terraform, Ansible, and Packer are used to provision and configure this environment, which contains: - An HPC OnDemand Portal for all user access, remote shell access, remote visualization access, job submission, file access, and more - An Active Directory for user authentication and domain control - Open PBS or SLURM as a Job Scheduler - Dynamic resources provisioning and autoscaling is done by Azure CycleCloud pre-configured job queues and integrated health-checks to quickly avoid non-optimal nodes - A Jumpbox to provide admin access - A common shared file system for home directory and applications is delivered by Azure Netapp Files - Grafana dashboards to monitor your cluster - Remote Visualization with noVNC and GPU acceleration with VirtualGL

This repository introduces and helps organizations get started with building AI Apps and incorporating Large Language Models (LLMs) into them. The workshop covers topics such as prompt engineering, AI orchestration, and deploying AI apps. Participants will learn how to use Azure OpenAI, Langchain/ Semantic Kernel, Qdrant, and Azure AI Search to build intelligent applications.

MSCCL++ is a GPU-driven communication stack for scalable AI applications. It provides a highly efficient and customizable communication stack for distributed GPU applications. MSCCL++ redefines inter-GPU communication interfaces, delivering a highly efficient and customizable communication stack for distributed GPU applications. Its design is specifically tailored to accommodate diverse performance optimization scenarios often encountered in state-of-the-art AI applications. MSCCL++ provides communication abstractions at the lowest level close to hardware and at the highest level close to application API. The lowest level of abstraction is ultra light weight which enables a user to implement logics of data movement for a collective operation such as AllReduce inside a GPU kernel extremely efficiently without worrying about memory ordering of different ops. The modularity of MSCCL++ enables a user to construct the building blocks of MSCCL++ in a high level abstraction in Python and feed them to a CUDA kernel in order to facilitate the user's productivity. MSCCL++ provides fine-grained synchronous and asynchronous 0-copy 1-sided abstracts for communication primitives such as `put()`, `get()`, `signal()`, `flush()`, and `wait()`. The 1-sided abstractions allows a user to asynchronously `put()` their data on the remote GPU as soon as it is ready without requiring the remote side to issue any receive instruction. This enables users to easily implement flexible communication logics, such as overlapping communication with computation, or implementing customized collective communication algorithms without worrying about potential deadlocks. Additionally, the 0-copy capability enables MSCCL++ to directly transfer data between user's buffers without using intermediate internal buffers which saves GPU bandwidth and memory capacity. MSCCL++ provides consistent abstractions regardless of the location of the remote GPU (either on the local node or on a remote node) or the underlying link (either NVLink/xGMI or InfiniBand). This simplifies the code for inter-GPU communication, which is often complex due to memory ordering of GPU/CPU read/writes and therefore, is error-prone.

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