Best AI tools for< Reference Items >

Ref Hub is an AI-powered online reference checking software based in Australia. The platform offers automated reference checks, fraud detection, lead generation tools, survey builder, and mobile app for managing reference checks on-the-go. With AI assessments, users can test candidates' skills at scale. Ref Hub provides flexible solutions for businesses of all sizes, from startups to large enterprises, streamlining the hiring process with reliable reference checks and smart assessments.

Wizdom.ai is an AI-powered research intelligence platform that provides comprehensive insights into the global research ecosystem. It continuously monitors billions of data points to generate analytics about scientific developments, helping users make informed decisions and progress research further and faster. Wizdom.ai offers a range of features, including:

InstaPhotoAI is a web-based application that uses artificial intelligence to create realistic photos from scratch. With InstaPhotoAI, you can create photos of people, places, and things that look like they were taken with a real camera. The application is easy to use and can be used to create photos for a variety of purposes, including social media, marketing, and art.

Bibit AI is a real estate marketing AI designed to enhance the efficiency and effectiveness of real estate marketing and sales. It can help create listings, descriptions, and property content, and offers a host of other features. Bibit AI is the world's first AI for Real Estate. We are transforming the real estate industry by boosting efficiency and simplifying tasks like listing creation and content generation.

Songmastr is an automatic song mastering tool that uses artificial intelligence to master your songs to sound like a reference track. It's free to use for up to 7 songs per week, and you can master songs up to 10 minutes in length and 80MB in size. Songmastr is based on the open source library Matchering, and it uses the same RMS, FR, peak amplitude, and stereo width as the reference song you choose.

HiPeople is an AI-powered platform designed to streamline the hiring process by providing resume screening, assessments, and reference checks for fast, unbiased, and efficient hiring decisions. It offers a comprehensive toolkit for modern teams to automate mundane tasks, reduce time-to-fill, and make data-driven hiring choices. With a focus on skills-based hiring and volume hiring, HiPeople aims to help organizations identify and hire top talent effectively.

The website encountered a server error, preventing it from fulfilling the user's request. The error message indicates a 500 Server Error, suggesting an issue on the server-side that is preventing the completion of the request. Users are advised to wait for 30 seconds and try again. This error message typically occurs when there is a problem with the server configuration or processing of the request.

Cloudflare is a platform that offers a range of products and services to help users build, secure, and optimize their websites and applications. It provides solutions for web analytics, troubleshooting errors, domain registration, content delivery, and more. Cloudflare also offers developer products like Workers and AI products like AI Vectorize and AI Gateway. Additionally, Cloudflare provides Zero Trust Access, Tunnel Gateway, and Browser Isolation services to enhance security and performance. The platform aims to simplify the process of managing online assets and improving user experience.

MimicBrush is an advanced AI-powered online image editing tool that revolutionizes the editing process by seamlessly integrating reference image elements into edits. With its imitative editing technique, MimicBrush offers high-quality, realistic image modifications with unparalleled precision and versatility. The platform allows users to make simple image edits, automated processing, localized modifications, texture transfers, and post-processing refinements effortlessly. Whether you're a beginner or a professional, MimicBrush provides a user-friendly interface and powerful features for all your image editing needs.

scienceOS is an AI research tool designed for scientists to accelerate their research process. It offers features such as AI science chat, AI PDF chat, AI reference manager, and more to help researchers access and analyze vast amounts of scientific data efficiently. With a focus on collaboration, simplicity, leanness, and vision, scienceOS aims to empower scientists in tackling global challenges by providing access to a vast database of research papers and citations.

VIDUR is an AI agent designed for Corporate, Tax & Regulatory Laws. It provides expert-verified responses, updates, advisory, and drafts in a simple language format. The application is built by Ex Big4 and Tier 1 Law Firm Professionals, offering up-to-date knowledge from 250+ experts and Bharat Laws. VIDUR streamlines research processes, saves time, and ensures accuracy by harnessing proprietary access to knowledge and delivering high-quality, reliable results across diverse domains such as Income Tax, GST, Companies Act, and more.

Interior Render AI is an AI-powered interior design tool that allows users to generate high-quality interior design renderings in various styles based on reference images. Users can upload indoor photos or design sketches and provide a natural language description of their desired style. The AI will then generate realistic and visually appealing renderings that can be used for inspiration, communication, and idea pitching. Interior Render AI is a valuable tool for interior designers, architects, and anyone looking to redesign their space.

Noodle4 is an AI-powered platform designed for content review of User-Generated Content (UGC) and Influencer content. It offers advanced AI models that streamline manual content review processes with speed and accuracy. Noodle4 helps users to ensure that their content aligns with brand guidelines, briefs, ad compliance, and product classification. The platform allows for cross-referencing of audio, video, text, and images, making content review efficient and precise. Noodle4 also facilitates collaboration between clients and creators, providing a seamless review experience.

Live Portrait Ai Generator is an AI application that transforms static portrait images into lifelike videos using advanced animation technology. Users can effortlessly animate their portraits, fine-tune animations, unleash artistic styles, and make memories move with text, music, and other elements. The tool offers a seamless stitching technology and retargeting capabilities to achieve perfect results. Live Portrait Ai enhances generation quality and generalization ability through a mixed image-video training strategy and network architecture upgrades.

Continue is an open-source AI code assistant that enhances development by allowing users to connect any models and context to create custom autocomplete and chat experiences inside IDEs like VS Code and JetBrains. It helps developers remain in flow while coding, accelerates development with a plug-and-play system, and enables users to become leaders in AI by evolving their code assistant capabilities. With features like autocompletion, referencing and chatting, highlighting and instructing, Continue streamlines the coding process and boosts productivity.

Scite is an award-winning platform for discovering and evaluating scientific articles via Smart Citations. Smart Citations allow users to see how a publication has been cited by providing the context of the citation and a classification describing whether it provides supporting or contrasting evidence for the cited claim.

The website displays a 404 error message indicating that the deployment cannot be found. It provides a code (DEPLOYMENT_NOT_FOUND) and an ID (sin1::hfkql-1741193256810-ca47dff01080). Users are directed to refer to the documentation for further information and troubleshooting.

The website appears to be a domain for sale page hosted by GoDaddy. It seems that the domain 'ikigai.quest' is up for sale. The page displays an 'Access Denied' message, indicating that the user does not have permission to access the specific URL. The error reference number is provided for troubleshooting purposes.

The website glasp.co is a security service using Cloudflare to protect itself from online attacks. Users may encounter a block due to various triggers such as submitting specific words or phrases, SQL commands, or malformed data. In such cases, users can contact the site owner via email to resolve the issue. Cloudflare Ray ID is provided for reference.

Flim is a search engine for creative people that helps users find the perfect image to express their ideas. It offers a database of over 1 million images from movies, TV series, documentaries, music videos, and ads. Flim also provides a variety of tools to help users refine their search, including the ability to search by color, date, and frame size. Additionally, Flim offers a safe search tool that filters out explicit content. Flim is a valuable resource for creative professionals who need to find high-quality images for their projects.

Aria is a Zotero plugin that serves as an AI Research Assistant powered by Large Language Models (LLMs). It offers features like drag-and-drop referencing, autocompletion for creators and tags, visual analysis using GPT-4 Vision, and saving chats as notes and annotations. Aria requires the OpenAI GPT-4 model family and provides a configurable interface through preferences. Users can install Aria by downloading the latest release from GitHub and activating it in Zotero. The tool allows users to interact with Zotero library through conversational AI and probabilistic models, with the ability to troubleshoot errors and provide feedback for improvement.

JabRef is an open-source, cross-platform citation and reference management tool that helps users collect, organize, cite, and share research sources. It offers features like searching across online scientific catalogues, importing references in various formats, extracting metadata from PDFs, customizable citation key generator, support for Word and LibreOffice/OpenOffice, and more. Users can organize their research items hierarchically, find and merge duplicates, attach related documents, and keep track of what they read. JabRef also supports sharing via various export options and syncs library contents in a team via a SQL database. It is actively developed, free of charge, and offers native BibTeX and Biblatex support.

imodelsX is a Scikit-learn friendly library that provides tools for explaining, predicting, and steering text models/data. It also includes a collection of utilities for getting started with text data. **Explainable modeling/steering** | Model | Reference | Output | Description | |---|---|---|---| | Tree-Prompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/tree_prompt) | Explanation + Steering | Generates a tree of prompts to steer an LLM (_Official_) | | iPrompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/iprompt) | Explanation + Steering | Generates a prompt that explains patterns in data (_Official_) | | AutoPrompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/autoprompt) | Explanation + Steering | Find a natural-language prompt using input-gradients (⌛ In progress)| | D3 | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/d3) | Explanation | Explain the difference between two distributions | | SASC | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/sasc) | Explanation | Explain a black-box text module using an LLM (_Official_) | | Aug-Linear | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/aug_linear) | Linear model | Fit better linear model using an LLM to extract embeddings (_Official_) | | Aug-Tree | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/aug_tree) | Decision tree | Fit better decision tree using an LLM to expand features (_Official_) | **General utilities** | Model | Reference | |---|---| | LLM wrapper| [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/llm) | Easily call different LLMs | | | Dataset wrapper| [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/data) | Download minimially processed huggingface datasets | | | Bag of Ngrams | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/bag_of_ngrams) | Learn a linear model of ngrams | | | Linear Finetune | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/linear_finetune) | Finetune a single linear layer on top of LLM embeddings | | **Related work** * [imodels package](https://github.com/microsoft/interpretml/tree/main/imodels) (JOSS 2021) - interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible). * [Adaptive wavelet distillation](https://arxiv.org/abs/2111.06185) (NeurIPS 2021) - distilling a neural network into a concise wavelet model * [Transformation importance](https://arxiv.org/abs/1912.04938) (ICLR 2020 workshop) - using simple reparameterizations, allows for calculating disentangled importances to transformations of the input (e.g. assigning importances to different frequencies) * [Hierarchical interpretations](https://arxiv.org/abs/1807.03343) (ICLR 2019) - extends CD to CNNs / arbitrary DNNs, and aggregates explanations into a hierarchy * [Interpretation regularization](https://arxiv.org/abs/2006.14340) (ICML 2020) - penalizes CD / ACD scores during training to make models generalize better * [PDR interpretability framework](https://www.pnas.org/doi/10.1073/pnas.1814225116) (PNAS 2019) - an overarching framewwork for guiding and framing interpretable machine learning

LogChat is an open-source and free AI chat client that supports various chat models and technologies such as ChatGPT, 讯飞星火, DeepSeek, LLM, TTS, STT, and Live2D. The tool provides a user-friendly interface designed using Qt Creator and can be used on Windows systems without any additional environment requirements. Users can interact with different AI models, perform voice synthesis and recognition, and customize Live2D character models. LogChat also offers features like language translation, AI platform integration, and menu items like screenshot editing, clock, and application launcher.

This repository contains a library for constraining LLM generation to structured output, enforcing a JSON schema for precise data types and property names. It includes an acceptor/state machine framework, JSON acceptor, and JSON schema acceptor for guiding decoding in LLMs. The library provides reference implementations using Apple's MLX library and examples for function calling tasks. The tool aims to improve LLM output quality by ensuring adherence to a schema, reducing unnecessary output, and enhancing performance through pre-emptive decoding. Evaluations show performance benchmarks and comparisons with and without schema constraints.

Skyvern automates browser-based workflows using LLMs and computer vision. It provides a simple API endpoint to fully automate manual workflows, replacing brittle or unreliable automation solutions. Traditional approaches to browser automations required writing custom scripts for websites, often relying on DOM parsing and XPath-based interactions which would break whenever the website layouts changed. Instead of only relying on code-defined XPath interactions, Skyvern adds computer vision and LLMs to the mix to parse items in the viewport in real-time, create a plan for interaction and interact with them. This approach gives us a few advantages: 1. Skyvern can operate on websites it’s never seen before, as it’s able to map visual elements to actions necessary to complete a workflow, without any customized code 2. Skyvern is resistant to website layout changes, as there are no pre-determined XPaths or other selectors our system is looking for while trying to navigate 3. Skyvern leverages LLMs to reason through interactions to ensure we can cover complex situations. Examples include: 1. If you wanted to get an auto insurance quote from Geico, the answer to a common question “Were you eligible to drive at 18?” could be inferred from the driver receiving their license at age 16 2. If you were doing competitor analysis, it’s understanding that an Arnold Palmer 22 oz can at 7/11 is almost definitely the same product as a 23 oz can at Gopuff (even though the sizes are slightly different, which could be a rounding error!) Want to see examples of Skyvern in action? Jump to #real-world-examples-of- skyvern

BAML is a config file format for declaring LLM functions that you can then use in TypeScript or Python. With BAML you can Classify or Extract any structured data using Anthropic, OpenAI or local models (using Ollama) ## Resources  [Discord Community](https://discord.gg/boundaryml)  [Follow us on Twitter](https://twitter.com/boundaryml) * Discord Office Hours - Come ask us anything! We hold office hours most days (9am - 12pm PST). * Documentation - Learn BAML * Documentation - BAML Syntax Reference * Documentation - Prompt engineering tips * Boundary Studio - Observability and more #### Starter projects * BAML + NextJS 14 * BAML + FastAPI + Streaming ## Motivation Calling LLMs in your code is frustrating: * your code uses types everywhere: classes, enums, and arrays * but LLMs speak English, not types BAML makes calling LLMs easy by taking a type-first approach that lives fully in your codebase: 1. Define what your LLM output type is in a .baml file, with rich syntax to describe any field (even enum values) 2. Declare your prompt in the .baml config using those types 3. Add additional LLM config like retries or redundancy 4. Transpile the .baml files to a callable Python or TS function with a type-safe interface. (VSCode extension does this for you automatically). We were inspired by similar patterns for type safety: protobuf and OpenAPI for RPCs, Prisma and SQLAlchemy for databases. BAML guarantees type safety for LLMs and comes with tools to give you a great developer experience:  Jump to BAML code or how Flexible Parsing works without additional LLM calls. | BAML Tooling | Capabilities | | ----------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | BAML Compiler install | Transpiles BAML code to a native Python / Typescript library (you only need it for development, never for releases) Works on Mac, Windows, Linux  | | VSCode Extension install | Syntax highlighting for BAML files Real-time prompt preview Testing UI | | Boundary Studio open (not open source) | Type-safe observability Labeling |

MFLUX is a line-by-line port of the FLUX implementation in the Huggingface Diffusers library to Apple MLX. It aims to run powerful FLUX models from Black Forest Labs locally on Mac machines. The codebase is minimal and explicit, prioritizing readability over generality and performance. Models are implemented from scratch in MLX, with tokenizers from the Huggingface Transformers library. Dependencies include Numpy and Pillow for image post-processing. Installation can be done using `uv tool` or classic virtual environment setup. Command-line arguments allow for image generation with specified models, prompts, and optional parameters. Quantization options for speed and memory reduction are available. LoRA adapters can be loaded for fine-tuning image generation. Controlnet support provides more control over image generation with reference images. Current limitations include generating images one by one, lack of support for negative prompts, and some LoRA adapters not working.

The Dota2 AI Framework project aims to provide a framework for creating AI bots for Dota2, focusing on coordination and teamwork. It offers a LUA sandbox for scripting, allowing developers to code bots that can compete in standard matches. The project acts as a proxy between the game and a web service through JSON objects, enabling bots to perform actions like moving, attacking, casting spells, and buying items. It encourages contributions and aims to enhance the AI capabilities in Dota2 modding.

Cool-GenAI-Fashion-Papers is a curated list of resources related to GenAI-Fashion, including papers, workshops, companies, and products. It covers a wide range of topics such as fashion design synthesis, outfit recommendation, fashion knowledge extraction, trend analysis, and more. The repository provides valuable insights and resources for researchers, industry professionals, and enthusiasts interested in the intersection of AI and fashion.

CR-Mentor is a project that leverages Knowledge Base + LLM to improve development efficiency in Code Review. It provides comprehensive code context understanding, customizable code standards, global code analysis, and risk code identification. The tool aims to enhance code review processes by automating tracking of related files, supporting custom code review standards, generating comprehensive review reports, and identifying potentially risky changes with improvement suggestions.

**Prompt flow** is a suite of development tools designed to streamline the end-to-end development cycle of LLM-based AI applications, from ideation, prototyping, testing, evaluation to production deployment and monitoring. It makes prompt engineering much easier and enables you to build LLM apps with production quality.

Infinity is a high-throughput, low-latency REST API for serving vector embeddings, supporting all sentence-transformer models and frameworks. It is developed under the MIT License and powers inference behind Gradient.ai. The API allows users to deploy models from SentenceTransformers, offers fast inference backends utilizing various accelerators, dynamic batching for efficient processing, correct and tested implementation, and easy-to-use API built on FastAPI with Swagger documentation. Users can embed text, rerank documents, and perform text classification tasks using the tool. Infinity supports various models from Huggingface and provides flexibility in deployment via CLI, Docker, Python API, and cloud services like dstack. The tool is suitable for tasks like embedding, reranking, and text classification.

Sales & Dungeons is a tool that utilizes thermal printers for creating customizable handouts, quick references, and more for Dungeons and Dragons sessions. It offers extensive templating and random generation systems, supports various connection methods, and allows importing/exporting templates and data sources. Users can access external data sources like Open5e, import data from CSV and other formats, and utilize AI prompt generation and translation. The tool supports cloud sync and is compatible with multiple operating systems and devices.

A curated list of high-quality papers on resource-efficient Large Language Models (LLMs) with a focus on various aspects such as architecture design, pre-training, fine-tuning, inference, system design, and evaluation metrics. The repository covers topics like efficient transformer architectures, non-transformer architectures, memory efficiency, data efficiency, model compression, dynamic acceleration, deployment optimization, support infrastructure, and other related systems. It also provides detailed information on computation metrics, memory metrics, energy metrics, financial cost metrics, network communication metrics, and other metrics relevant to resource-efficient LLMs. The repository includes benchmarks for evaluating the efficiency of NLP models and references for further reading.

Factorio Learning Environment is an open source framework designed for developing and evaluating LLM agents in the game of Factorio. It provides two settings: Lab-play with structured tasks and Open-play for building large factories. Results show limitations in spatial reasoning and automation strategies. Agents interact with the environment through code synthesis, observation, action, and feedback. Tools are provided for game actions and state representation. Agents operate in episodes with observation, planning, and action execution. Tasks specify agent goals and are implemented in JSON files. The project structure includes directories for agents, environment, cluster, data, docs, eval, and more. A database is used for checkpointing agent steps. Benchmarks show performance metrics for different configurations.

aiocoap is a Python library that implements the Constrained Application Protocol (CoAP) using native asyncio methods in Python 3. It supports various CoAP standards such as RFC7252, RFC7641, RFC7959, RFC8323, RFC7967, RFC8132, RFC9176, RFC8613, and draft-ietf-core-oscore-groupcomm-17. The library provides features for clients and servers, including multicast support, blockwise transfer, CoAP over TCP, TLS, and WebSockets, No-Response, PATCH/FETCH, OSCORE, and Group OSCORE. It offers an easy-to-use interface for concurrent operations and is suitable for IoT applications.

The Hume AI Python SDK allows users to integrate Hume APIs directly into their Python applications. Users can access complete documentation, quickstart guides, and example notebooks to get started. The SDK is designed to provide support for Hume's expressive communication platform built on scientific research. Users are encouraged to create an account at beta.hume.ai and stay updated on changes through Discord. The SDK may undergo breaking changes to improve tooling and ensure reliable releases in the future.

searchGPT is an open-source project that aims to build a search engine based on Large Language Model (LLM) technology to provide natural language answers. It supports web search with real-time results, file content search, and semantic search from sources like the Internet. The tool integrates LLM technologies such as OpenAI and GooseAI, and offers an easy-to-use frontend user interface. The project is designed to provide grounded answers by referencing real-time factual information, addressing the limitations of LLM's training data. Contributions, especially from frontend developers, are welcome under the MIT License.

llama.vscode is a local LLM-assisted text completion extension for Visual Studio Code. It provides auto-suggestions on input, allows accepting suggestions with shortcuts, and offers various features to enhance text completion. The extension is designed to be lightweight and efficient, enabling high-quality completions even on low-end hardware. Users can configure the scope of context around the cursor and control text generation time. It supports very large contexts and displays performance statistics for better user experience.

参考文献格式化和注释体例专家

Formats academic references to specific styles.

Input your work and harvard referencing will be automated for you

A reference tool for UK energy transmission campaigners.

Bible reference assistant with scripture and translation expertise.

I will create personalized reference photos to show your hair stylist. Upload a photo to try.

Expert in article-based reference generation and formatting.

Expert in citation styles and reference generation.

Using various psychological literature as a reference, we provide advice on problems related to work and daily life.

Crafts speeches from PowerPoint slides and reference materials, adding depth and context.

Ruby doc searcher for Ruby reference and Rurema

Guitar teacher focused on giving tabular reference material for song writing or music theory education.

Analyze your results based on reference ranges from the most influential longevity doctors and organizations.

Generates APA papers with detailed reference lists.

This tool is only useful if you have added new sources to your reference list and need to ensure that your in-text citations reflect these updates. Paste your essay below to get started.

Upload an avatar and indicate the costume concept to design the movie character costume concept and set different angles for reference.

"Dumpty Caricature: Elevate your designs with playful caricature illustrations. Just share your reference image for inspiration, and watch your vision come to life in a fun, exaggerated caricature style. Perfect for branding, marketing, and personal projects!"

A GPT pre-trained on duneSQL Farcaster tables, complex examples, and duneSQL syntax. Please reference the dune docs or contact @shoni.eth for errors

SGF identifies research gaps using scholarly sources. It creates proposals with abstracts, literature reviews, and a reference list tailored for academic research.

Simple CustomGPT built on Vitals Inquiry Case in Malta, aimed to help journalists and citizens navigate the inquiry's large dataset in a neutral, informative fashion. Always cross-reference replies to actual data. Do not rely solely on this LLM for verification of facts.