Best AI tools for< Preserve Structure >

FLUX Style Shaping is an AI-powered image style transfer tool that allows users to transform images by blending structure, style, and imagination. It combines advanced neural networks with artistic understanding to create stunning visuals while preserving structural elements. Users can upload images, add prompts, and generate unique artworks with high-resolution output. The tool offers browser-based convenience, instant processing, and prompt-guided generation for precise artistic transformations.

MeetYou is an AI application that allows users to create and interact with their own digital entity, preserving memories and experiences in a structured manner. Users can personalize their entity, engage in conversations, and even monetize interactions through chat, voice, or video. The application leverages AI technology to extract, model, and enrich user data, offering a unique way to immortalize one's identity and knowledge.

GPTZero is a leading AI detector designed to identify text generated by large language models like ChatGPT, GPT-4, Bard, LLaMa, and others. It utilizes advanced technology to analyze writing patterns and determine the likelihood of AI involvement. GPTZero provides detailed insights into the writing process, highlighting sections potentially written by AI. With its user-friendly interface and various integrations, GPTZero empowers educators, students, writers, recruiters, and cybersecurity professionals to navigate the world of AI-generated content with confidence.

Sensay is a platform that specializes in creating digital AI Replicas, offering cutting-edge cloning technology to simplify the process of developing humanlike AI Replicas. These Replicas are designed to preserve and share wisdom, catering to various needs such as dementia care, custom solutions, education, and fan engagement. Sensay ensures the creation of personalized Replicas that mimic individual personalities for realistic interactions, with a focus on continuous learning and enhancing interaction quality over time. The platform also delves into ethical and philosophical implications, emphasizing privacy protection, consent, and the exploration of identity concepts.

HereAfter AI is an interactive memory app that helps users preserve their memories by interviewing them about their life and allowing loved ones to hear meaningful stories through a virtual interface. The app offers a user-friendly experience with audio recording, photo uploading, and conversational interactions. It aims to reinvent the way memories are shared and accessed, providing a personalized and secure platform for creating a lasting legacy.

Life Story AI is an application that utilizes artificial intelligence to assist users in writing their life stories or the life stories of their parents. The app guides users through a series of questions, transcribes their responses, and compiles them into a personalized book of up to 250 pages. Users can customize the cover, edit content, and add photos to create a unique family memoir. With features like voice-to-text transcription, grammar correction, and style formatting, Life Story AI simplifies the process of preserving cherished memories in a beautifully crafted book.

Mems is an AI-powered photo enhancer application designed to help users preserve, enhance, and cherish their memories through advanced photo editing capabilities. The app offers a range of features to improve the quality of photos, such as removing glare, brightening smiles, clearing blemishes, and removing braces. Mems is suitable for both professional photographers and individuals looking to enhance their personal photos. The application is user-friendly and provides watermark-free editing, allowing users to create and share their favorite moments effortlessly.

Memoirist is an AI-assisted service that helps users self-author heartfelt memoirs and biographies of their loved ones. The platform prompts users with expert questions to uncover deep and meaningful stories effortlessly. It turns interviews into beautifully crafted memoirs, handles formatting and design, and delivers a printed book straight to the user's door. Memoirist aims to help families stay connected, preserve their history, and create lasting memories for themselves and future generations.

The 'Times of My Life' app is an AI-powered storytelling tool designed to help users capture, share, and preserve their life stories. Users can be interviewed about important life events, milestones, and memories, and the virtual biographer will write and edit the stories in minutes, complete with photos and video clips. The app allows users to add narration and music, and instantly publish the stories in various formats. It aims to celebrate meaningful life experiences, preserve legacies, and offer a unique way to share stories with loved ones.

Momentary is an AI-powered journaling application designed for personal growth and mental health. Users can capture their thoughts and emotions using their voice, replay moments for reflection, cultivate self-awareness, leave positive affirmations, record personal quotes, and gain insights for personal growth. The application also offers features like transcribing and rewriting disorganized thoughts, prompts for varied reflections, mood categorization, auto-tagging, and self-reflection with an AI mentor. Momentary aims to help individuals enhance their self-awareness, daily progress, and overall well-being through the power of AI technology.

Kindred Tales is an AI-assisted memoir writing service that helps users capture and preserve their life stories in a beautiful keepsake book. With the help of AI, Kindred Tales makes authoring your life story simple and enjoyable, offering various ways to write, including a classic composer, email, biographer, and transcription. The service provides over 100 meaningful questions to inspire writing, and users can also create their own topics or invite family to submit topics for a truly customized experience. Kindred Tales is perfect for preserving family legacy and sharing memories with future generations.

PDF Translator & Editor is a powerful AI-driven tool that offers multilingual document translation with format and layout preservation. It supports translation of native PDFs, scanned PDFs, Word, Excel, PowerPoint, and image files to 136 languages. The tool also provides versatile PDF conversion and editing capabilities, allowing users to convert PDFs to images and vice versa, edit PDF text, scan to PDF, and split PDF files. With AI technology from Google and Microsoft's Neural Machine Translation models, the tool ensures accurate translations with automatic language detection. Trusted by users worldwide, PDF Translator & Editor offers unlimited access without file size or page limits.

Retouch4me is an AI-powered photo retouching application that offers a range of tools for enhancing images effortlessly. With features like skin defect fixes, smoothing troubled skin, adding depth to portraits, and more, Retouch4me provides stunning results with minimal effort. The application is designed for both professionals and beginners, allowing users to retouch photos and videos with ease. Retouch4me's AI technology preserves the natural look of the subjects while streamlining the editing process. The application is available as Photoshop plugins and standalone apps, offering powerful retouching capabilities for various purposes.

Leaves is an AI-powered personal storytelling app that allows users to capture cherished memories, craft captivating stories, and preserve their legacy in a remarkable way. The app offers features such as Virtual Biographer, Save Your Legacy, and Timeless Tale to help users create interactive life maps, timelines, and summary biographies. Leaves prioritizes user privacy and security, with no ads or data sharing with third parties. Users can start their storytelling journey for free or unlock more features with Leaves Premium.

Granica AI is an AI data readiness platform that helps users build and manage high-quality data for AI projects at scale. The platform uses AI to continuously improve the AI-readiness of data, making projects faster and more impactful over time. Granica offers features such as data cost optimization, data privacy, data selection & curation, and more. The platform is trusted by category-defining companies for its efficiency in reducing storage costs and improving data security.

MemoryLane is an AI-powered reminiscence therapy application that helps users transform their life stories into beautifully bound books. Through engaging conversations with an AI confidante named Genie, users can share their memories in English or Chinese, which are then transformed into captivating chapters of a personalized book. The app offers features like personalizing book covers, transitioning from digital to printed books, and creating a tangible legacy for future generations. MemoryLane aims to provide a safe space for reminiscing about the past and easily creating enduring legacies.

Doclingo is an AI-powered document translation tool that supports translating documents in various formats such as PDF, Word, Excel, PowerPoint, SRT subtitles, ePub ebooks, AR&ZIP packages, and more. It utilizes large language models to provide accurate and professional translations, preserving the original layout of the documents. Users can enjoy a limited-time free trial upon registration, with the option to subscribe for more features. Doclingo aims to offer high-quality translation services through continuous algorithm improvements.

PDFTranslate.ai is an online AI-powered PDF translation tool that allows users to seamlessly translate PDF files into over 100 languages while preserving the original layout. It is designed to help students, researchers, and businesses understand and work with multilingual PDF documents more efficiently. The tool uses advanced AI and translation algorithms to ensure high accuracy and reliability in translations, making it a valuable resource for anyone needing quick and accurate document translations.

Ask Mama.ai is an AI-powered application designed to provide personalized support and guidance to mothers on various aspects of motherhood, including child health, nutrition, sleep, and development. The app features an AI Mommy chatbot that offers instant recommendations, a Growth Tracker to monitor child's growth, Baby Memories to preserve milestones, Baby Activities for engagement, Online Pediatrist Consultancy for expert medical advice, and more. It aims to simplify parenting by leveraging artificial intelligence technology to assist mothers 24/7.

Sherpa.ai is a SaaS platform that enables data collaborations without sharing data. It allows businesses to build and train models with sensitive data from different parties, without compromising privacy or regulatory compliance. Sherpa.ai's Federated Learning platform is used in various industries, including healthcare, financial services, and manufacturing, to improve AI models, accelerate research, and optimize operations.

This repository contains the code that Defog uses for the evaluation of generated SQL. It's based off the schema from the Spider, but with a new set of hand-selected questions and queries grouped by query category. The testing procedure involves generating a SQL query, running both the 'gold' query and the generated query on their respective database to obtain dataframes with the results, comparing the dataframes using an 'exact' and a 'subset' match, logging these alongside other metrics of interest, and aggregating the results for reporting. The repository provides comprehensive instructions for installing dependencies, starting a Postgres instance, importing data into Postgres, importing data into Snowflake, using private data, implementing a query generator, and running the test with different runners.

Anki AI Utils is a powerful suite of AI-powered tools designed to enhance your Anki flashcard learning experience by automatically improving cards you struggle with. The tools include features such as adaptive learning, personalized memory hooks, automation readiness, universal compatibility, provider agnosticism, and infinite extensibility. The toolkit consists of tools like Illustrator for creating custom mnemonic images, Reformulator for rephrasing flashcards, Mnemonics Creator for generating memorable mnemonics, Explainer for providing detailed explanations, and Mnemonics Helper for quick mnemonic generation. The project aims to motivate others to package the tools into addons for wider accessibility.

abliterator.py is a simple Python library/structure designed to ablate features in large language models (LLMs) supported by TransformerLens. It provides capabilities to enter temporary contexts, cache activations with N samples, calculate refusal directions, and includes tokenizer utilities. The library aims to streamline the process of experimenting with ablation direction turns by encapsulating useful logic and minimizing code complexity. While currently basic and lacking comprehensive documentation, the library serves well for personal workflows and aims to expand beyond feature ablation to augmentation and additional features over time with community support.

Bespoke Curator is an open-source tool for data curation and structured data extraction. It provides a Python library for generating synthetic data at scale, with features like programmability, performance optimization, caching, and integration with HuggingFace Datasets. The tool includes a Curator Viewer for dataset visualization and offers a rich set of functionalities for creating and refining data generation strategies.

allms is a versatile and powerful library designed to streamline the process of querying Large Language Models (LLMs). Developed by Allegro engineers, it simplifies working with LLM applications by providing a user-friendly interface, asynchronous querying, automatic retrying mechanism, error handling, and output parsing. It supports various LLM families hosted on different platforms like OpenAI, Google, Azure, and GCP. The library offers features for configuring endpoint credentials, batch querying with symbolic variables, and forcing structured output format. It also provides documentation, quickstart guides, and instructions for local development, testing, updating documentation, and making new releases.

PyLLMCore is a light-weighted interface with Large Language Models with native support for llama.cpp, OpenAI API, and Azure deployments. It offers a Pythonic API that is simple to use, with structures provided by the standard library dataclasses module. The high-level API includes the assistants module for easy swapping between models. PyLLMCore supports various models including those compatible with llama.cpp, OpenAI, and Azure APIs. It covers use cases such as parsing, summarizing, question answering, hallucinations reduction, context size management, and tokenizing. The tool allows users to interact with language models for tasks like parsing text, summarizing content, answering questions, reducing hallucinations, managing context size, and tokenizing text.

This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.

Awesome-Attention-Heads is a platform providing the latest research on Attention Heads, focusing on enhancing understanding of Transformer structure for model interpretability. It explores attention mechanisms for behavior, inference, and analysis, alongside feed-forward networks for knowledge storage. The repository aims to support researchers studying LLM interpretability and hallucination by offering cutting-edge information on Attention Head Mining.

The 'llm-strategy' repository implements the Strategy Pattern using Large Language Models (LLMs) like OpenAI’s GPT-3. It provides a decorator 'llm_strategy' that connects to an LLM to implement abstract methods in interface classes. The package uses doc strings, type annotations, and method/function names as prompts for the LLM and can convert the responses back to Python data. It aims to automate the parsing of structured data by using LLMs, potentially reducing the need for manual Python code in the future.

TotalSegmentator is a 3D Slicer extension designed for fully automatic whole body CT segmentation using the 'TotalSegmentator' AI model. The computation time is less than one minute, making it efficient for research purposes. Users can set up GPU acceleration for faster segmentation. The tool provides a user-friendly interface for loading CT images, creating segmentations, and displaying results in 3D. Troubleshooting steps are available for common issues such as failed computation, GPU errors, and inaccurate segmentations. Contributions to the extension are welcome, following 3D Slicer contribution guidelines.

This simple package can be used to fix an invalid json string. To know all cases in which this package will work, check out the unit test. Inspired by https://github.com/josdejong/jsonrepair Motivation Some LLMs are a bit iffy when it comes to returning well formed JSON data, sometimes they skip a parentheses and sometimes they add some words in it, because that's what an LLM does. Luckily, the mistakes LLMs make are simple enough to be fixed without destroying the content. I searched for a lightweight python package that was able to reliably fix this problem but couldn't find any. So I wrote one How to use from json_repair import repair_json good_json_string = repair_json(bad_json_string) # If the string was super broken this will return an empty string You can use this library to completely replace `json.loads()`: import json_repair decoded_object = json_repair.loads(json_string) or just import json_repair decoded_object = json_repair.repair_json(json_string, return_objects=True) Read json from a file or file descriptor JSON repair provides also a drop-in replacement for `json.load()`: import json_repair try: file_descriptor = open(fname, 'rb') except OSError: ... with file_descriptor: decoded_object = json_repair.load(file_descriptor) and another method to read from a file: import json_repair try: decoded_object = json_repair.from_file(json_file) except OSError: ... except IOError: ... Keep in mind that the library will not catch any IO-related exception and those will need to be managed by you Performance considerations If you find this library too slow because is using `json.loads()` you can skip that by passing `skip_json_loads=True` to `repair_json`. Like: from json_repair import repair_json good_json_string = repair_json(bad_json_string, skip_json_loads=True) I made a choice of not using any fast json library to avoid having any external dependency, so that anybody can use it regardless of their stack. Some rules of thumb to use: - Setting `return_objects=True` will always be faster because the parser returns an object already and it doesn't have serialize that object to JSON - `skip_json_loads` is faster only if you 100% know that the string is not a valid JSON - If you are having issues with escaping pass the string as **raw** string like: `r"string with escaping\"" Adding to requirements Please pin this library only on the major version! We use TDD and strict semantic versioning, there will be frequent updates and no breaking changes in minor and patch versions. To ensure that you only pin the major version of this library in your `requirements.txt`, specify the package name followed by the major version and a wildcard for minor and patch versions. For example: json_repair==0.* In this example, any version that starts with `0.` will be acceptable, allowing for updates on minor and patch versions. How it works This module will parse the JSON file following the BNF definition: ::= | ::= | | ; Where: ; is a valid real number expressed in one of a number of given formats ; is a string of valid characters enclosed in quotes ; is one of the literal strings 'true', 'false', or 'null' (unquoted) ::=