Best AI tools for< Make Dog Portraits >

Scruffy AI is a website that allows users to create custom dog portraits and gifts. Users can select from a variety of portrait styles, upload pictures of their dogs, and then choose their favorite portrait to download. Scruffy AI also offers both digital and framed prints. The website is easy to use and provides high-quality results. Users can also use Scruffy AI to train their own models to generate new images.

Disney Pixar Dog AI is an innovative online service that utilizes advanced artificial intelligence technology to transform user-uploaded photos of dogs into delightful images with a Disney Pixar animation style. Users can turn their beloved pets into charming characters resembling those from animated movies. The service offers a simple and fun way to create unique artwork of your furry friends, providing a creative outlet for pet owners and Disney Pixar enthusiasts alike.

PuppiesAI.com is an AI tool that generates puppy images using artificial intelligence technology. Users can create various puppy images with different scenarios and backgrounds by utilizing the AI capabilities of the website. The platform offers a wide range of options for generating unique and creative puppy images, making it a fun and entertaining tool for dog lovers and photography enthusiasts.

Pawmenow is a comprehensive and engaging blog dedicated to providing valuable information and resources for dog owners. With a wide range of topics covering various aspects of dog care, training, behavior, and health, Pawmenow aims to empower dog owners with the knowledge and tools they need to ensure the well-being and happiness of their furry companions. Pawmenow's content is meticulously crafted by a team of experienced dog enthusiasts, including veterinarians, trainers, and behaviorists. Their articles are well-researched, informative, and presented in a clear and accessible manner, making them suitable for dog owners of all levels of experience. One of the key strengths of Pawmenow is its commitment to providing practical advice and solutions to common dog-related issues. Whether you're dealing with behavioral challenges, health concerns, or simply seeking guidance on how to provide the best possible care for your dog, Pawmenow has a wealth of information to assist you. In addition to its informative articles, Pawmenow also offers a variety of interactive features, such as breed profiles, product reviews, and a lively community forum. These features allow dog owners to connect with each other, share their experiences, and learn from the collective wisdom of the Pawmenow community. Overall, Pawmenow is an invaluable resource for dog owners who are passionate about providing the best possible care for their canine companions. Its comprehensive content, expert insights, and supportive community make it a go-to destination for dog lovers everywhere.

Make-A-Video is a state-of-the-art AI system that generates videos from text. It builds on recent progress in text-to-image generation technology to enable text-to-video generation. The system uses images and unlabeled videos to learn about the world and create unique videos based on text input. Make-A-Video allows users to bring their imagination to life by generating whimsical and realistic videos with just a few words or lines of text.

This website provides a tool that allows users to convert 2D images into 3D images. The tool uses artificial intelligence to extract depth information from the image, which is then used to create a 3D model. The resulting 3D model can be embedded into a website or shared via a link.

Make me Epic is a web application that allows users to generate legendary titles for their LinkedIn profiles. The application uses artificial intelligence to analyze the user's resume and generate a title that is both creative and attention-grabbing. Make me Epic is a fun and easy way to make your LinkedIn profile stand out from the crowd.

Make It Quick is an AI-powered video creation platform that simplifies video production by generating high-quality videos from a few text prompts. The platform offers instant video creation, auto-generated scripts, and customization options, making it easy for users to create professional videos in minutes. With features like AI collaboration, automated video editing, and script optimization, Make It Quick is designed to help users bring their ideas to life effortlessly.

Zoom is a cloud-based video conferencing service that allows users to virtually connect with others for meetings, webinars, and other events. It offers a range of features such as video and audio conferencing, screen sharing, chat, and recording. Zoom also provides additional tools for collaboration, such as a whiteboard, breakout rooms, and polling. The platform is designed to be user-friendly and accessible from various devices, including computers, smartphones, and tablets.

Otter.ai is an AI-powered meeting note-taking and real-time transcription solution designed to enhance productivity and collaboration in business settings. It offers a range of features, including automatic note-taking, live summaries, action item tracking, and AI-powered chat assistance. Otter.ai integrates with popular video conferencing platforms such as Zoom, Google Meet, and Microsoft Teams, allowing users to capture and transcribe meeting content effortlessly. The platform also provides customizable templates, collaboration tools, and integrations with other business applications to streamline workflows and improve team efficiency.

Appen is a leading provider of high-quality data for training AI models. The company's end-to-end platform, flexible services, and deep expertise ensure the delivery of high-quality, diverse data that is crucial for building foundation models and enterprise-ready AI applications. Appen has been providing high-quality datasets that power the world's leading AI models for decades. The company's services enable it to prepare data at scale, meeting the demands of even the most ambitious AI projects. Appen also provides enterprises with software to collect, curate, fine-tune, and monitor traditionally human-driven tasks, creating massive efficiencies through a trustworthy, traceable process.

FlexClip is an online video editor that allows users to create and edit videos for various purposes, including business, marketing, social media, and personal use. It offers a wide range of features, including AI-powered tools, templates, and stock assets, making it easy for users to create professional-looking videos without any prior experience. FlexClip is trusted by millions of global creators and has received positive reviews for its ease of use, powerful features, and extensive resources.

Venngage is a professional infographic software offering over 10,000 templates for creating visually appealing and accessible designs. The platform uses AI-powered tools to assist users in generating designs, checking for contrast and colors, and more. Venngage provides a range of features for creating infographics, brochures, posters, timelines, and other visual content. Users can access educational resources, templates, and tools to enhance their design capabilities. The platform also offers solutions for teams in various industries, such as executive leadership, marketing, human resources, and more.

Fillout is an AI-powered form builder that allows users to create powerful forms, surveys, and quizzes that their audience will enjoy answering. It is designed to be easy to use, with a drag-and-drop interface and a variety of templates to choose from. Fillout also integrates with a variety of other tools, such as Airtable, Salesforce, and Google Sheets, making it a versatile option for businesses of all sizes.

Upscales.ai is a free online AI image upscaler that can enhance the quality of your photos up to 8x their original resolution. It's easy to use, simply upload your image and Upscales.ai will do the rest. You can also download the Upscales.ai app for iOS or Android to upscale images on your mobile device.

LightPDF is an AI-powered, free online PDF editor, converter, and reader. It offers a wide range of PDF tools, including the ability to convert PDFs to and from other formats, edit PDFs, add watermarks, split and merge PDFs, rotate PDFs, annotate PDFs, optimize PDFs, compress PDFs, perform OCR on PDFs, and protect PDFs. LightPDF also offers a variety of AI-powered features, such as an AI chatbot that can answer questions about documents and an AI-powered OCR engine that can convert scanned PDFs and images to text.

Glean is an AI-powered work assistant that helps teams harness generative AI and make better decisions faster. It connects all of your company's data across all of the content, people, and interactions in your organization. Glean's advanced personalization ensures that answers are tailored to who you are, who you work with, and what you're working on. Its Retrieval Augmented Generation (RAG) retrieves the most relevant information and ensures that LLMs answer with the most up-to-date knowledge.

Glean is an AI-powered work assistant and enterprise search platform that enables teams to harness generative AI to make better decisions faster. It connects all company data, provides advanced personalization, and ensures retrieval of the most relevant information. Glean offers responsible AI solutions that scale to businesses, respecting permissions and providing secure, private, and fully referenceable answers. With turnkey deployment and a variety of platform tools, Glean helps teams move faster and be more productive.

Deepfakes Web is an online deepfake software that allows users to create deepfake videos by uploading videos and clicking a button. The app uses AI to swap faces in the videos, and the results can be surprisingly realistic. Deepfakes Web is private and secure, and users can reuse their trained models to improve the quality of their results. The app is available for a low cost, and it has a number of features that make it easy to use, including a user-friendly interface and a variety of templates to choose from.

KNIME is a data science platform that enables users to analyze, blend, transform, model, visualize, and deploy data science solutions without coding. It provides a range of features and advantages for business and domain experts, data experts, end users, and MLOps & IT professionals across various industries and departments.

MediaPipe-rs is a Rust library designed for MediaPipe tasks on WasmEdge WASI-NN. It offers easy-to-use low-code APIs similar to mediapipe-python, with low overhead and flexibility for custom media input. The library supports various tasks like object detection, image classification, gesture recognition, and more, including TfLite models, TF Hub models, and custom models. Users can create task instances, run sessions for pre-processing, inference, and post-processing, and speed up processing by reusing sessions. The library also provides support for audio tasks using audio data from symphonia, ffmpeg, or raw audio. Users can choose between CPU, GPU, or TPU devices for processing.

The LLM Prompt Tuning Playbook is a comprehensive guide for improving the performance of post-trained Language Models (LLMs) through effective prompting strategies. It covers topics such as pre-training vs. post-training, considerations for prompting, a rudimentary style guide for prompts, and a procedure for iterating on new system instructions. The playbook emphasizes the importance of clear, concise, and explicit instructions to guide LLMs in generating desired outputs. It also highlights the iterative nature of prompt development and the need for systematic evaluation of model responses.

The 'ShitSpotter' repository is dedicated to developing a poop-detection algorithm and dataset for creating a phone app that helps locate dog poop in outdoor environments. The project involves training a PyTorch network to detect poop in images and provides scripts for detecting poop in unseen images using a pretrained model. The dataset consists of mostly outdoor images taken with a phone, with a process involving before and after pictures of the poop. The project aims to enable various applications, such as AR glasses for poop detection and efficient cleaning of public areas by city governments. The code, dataset, and pretrained models are open source with permissive licensing and distributed via IPFS, BitTorrent, and centralized mechanisms.

LangChain is a framework for developing Elixir applications powered by language models. It enables applications to connect language models to other data sources and interact with the environment. The library provides components for working with language models and off-the-shelf chains for specific tasks. It aims to assist in building applications that combine large language models with other sources of computation or knowledge. LangChain is written in Elixir and is not aimed for parity with the JavaScript and Python versions due to differences in programming paradigms and design choices. The library is designed to make it easy to integrate language models into applications and expose features, data, and functionality to the models.

SimpleAI is a self-hosted alternative to the not-so-open AI API, focused on replicating main endpoints for LLM such as text completion, chat, edits, and embeddings. It allows quick experimentation with different models, creating benchmarks, and handling specific use cases without relying on external services. Users can integrate and declare models through gRPC, query endpoints using Swagger UI or API, and resolve common issues like CORS with FastAPI middleware. The project is open for contributions and welcomes PRs, issues, documentation, and more.

SimplerLLM is an open-source Python library that simplifies interactions with Large Language Models (LLMs) for researchers and beginners. It provides a unified interface for different LLM providers, tools for enhancing language model capabilities, and easy development of AI-powered tools and apps. The library offers features like unified LLM interface, generic text loader, RapidAPI connector, SERP integration, prompt template builder, and more. Users can easily set up environment variables, create LLM instances, use tools like SERP, generic text loader, calling RapidAPI APIs, and prompt template builder. Additionally, the library includes chunking functions to split texts into manageable chunks based on different criteria. Future updates will bring more tools, interactions with local LLMs, prompt optimization, response evaluation, GPT Trainer, document chunker, advanced document loader, integration with more providers, Simple RAG with SimplerVectors, integration with vector databases, agent builder, and LLM server.

Rigging is a lightweight LLM framework designed to simplify the usage of language models in production code. It offers structured Pydantic models for text output, supports various models like LiteLLM and transformers, and provides features such as defining prompts as python functions, simple tool use, storing models as connection strings, async batching for large scale generation, and modern Python support with type hints and async capabilities. Rigging is developed by dreadnode and is suitable for tasks like building chat pipelines, running completions, tracking behavior with tracing, playing with generation parameters, and scaling up with iterating and batching.

This project is a c++ version of the AI reasoning library that supports the reasoning of tensorrt models. It provides accelerated deployment cases of deep learning CV popular models and supports dynamic-batch image processing, inference, decode, and NMS. The project has been updated with various models and provides tutorials for model exports. It also includes a producer-consumer inference model for specific tasks. The project directory includes implementations for model inference applications, backend reasoning classes, post-processing, pre-processing, and target detection and tracking. Speed tests have been conducted on various models, and onnx downloads are available for different models.

GenAIScript is a scripting environment designed to facilitate file ingestion, prompt development, and structured data extraction. Users can define metadata and model configurations, specify data sources, and define tasks to extract specific information. The tool provides a convenient way to analyze files and extract desired content in a structured format. It offers a user-friendly interface for working with data and automating data extraction processes, making it suitable for various data processing tasks.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

LlamaBot is a Pythonic bot interface to Large Language Models (LLMs), providing an easy way to experiment with LLMs in Jupyter notebooks and build Python apps utilizing LLMs. It supports all models available in LiteLLM. Users can access LLMs either through local models with Ollama or by using API providers like OpenAI and Mistral. LlamaBot offers different bot interfaces like SimpleBot, ChatBot, QueryBot, and ImageBot for various tasks such as rephrasing text, maintaining chat history, querying documents, and generating images. The tool also includes CLI demos showcasing its capabilities and supports contributions for new features and bug reports from the community.

This repository contains an unofficial implementation of the xLSTM model introduced in Beck et al. (2024). It serves as a didactic tool to explain the details of a modern Long-Short Term Memory model with competitive performance against Transformers or State-Space models. The repository also includes a Lightning-based implementation of a basic LLM for multi-GPU training. It provides modules for scalar-LSTM and matrix-LSTM, as well as an xLSTM LLM built using Pytorch Lightning for easy training on multi-GPUs.

This repository provides advanced AI explainability for PyTorch, offering state-of-the-art methods for Explainable AI in computer vision. It includes a comprehensive collection of Pixel Attribution methods for various tasks like Classification, Object Detection, Semantic Segmentation, and more. The package supports high performance with full batch image support and includes metrics for evaluating and tuning explanations. Users can visualize and interpret model predictions, making it suitable for both production and model development scenarios.

OpenCat is an open-source Arduino and Raspberry Pi-based quadruped robotic pet framework developed by Petoi. It aims to foster collaboration in quadruped robotics research, education, and engineering development of agile and affordable quadruped robot pets. The project provides a base open source platform for creating programmable gaits, locomotion, and deployment of inverse kinematics quadruped robots, enabling simulations to the real world via block-based coding/C/C++/Python programming languages. Users have deployed various robotics/AI/IoT applications and the project has successfully crowdfunded mini robot kits, shipped worldwide, and established a production line for affordable robotic kits and accessories.

PolyMind is a multimodal, function calling powered LLM webui designed for various tasks such as internet searching, image generation, port scanning, Wolfram Alpha integration, Python interpretation, and semantic search. It offers a plugin system for adding extra functions and supports different models and endpoints. The tool allows users to interact via function calling and provides features like image input, image generation, and text file search. The application's configuration is stored in a `config.json` file with options for backend selection, compatibility mode, IP address settings, API key, and enabled features.

xsAI is an extra-small AI SDK designed for Browser, Node.js, Deno, Bun, or Edge Runtime. It provides a series of utils to help users utilize OpenAI or OpenAI-compatible APIs. The SDK is lightweight and efficient, using a variety of methods to minimize its size. It is runtime-agnostic, working seamlessly across different environments without depending on Node.js Built-in Modules. Users can easily install specific utils like generateText or streamText, and leverage tools like weather to perform tasks such as getting the weather in a location.

AIDE @ unipi is a repository containing students' material for the course in Artificial Intelligence and Data Engineering at University of Pisa. It includes slides, students' notes, information about exams methods, oral questions, past exams, and links to past students' projects. The material is unofficial and created by students for students, checked only by students. Contributions are welcome through pull requests, issues, or contacting maintainers. The repository aims to provide non-profit resources for the course, with the opportunity for contributors to be acknowledged and credited. It also offers links to Telegram and WhatsApp groups for further interaction and a Google Drive folder with additional resources for AIDE published by past students.

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