Best AI tools for< Enhance Contrast >

AILab Tools is a revolutionary AI-powered platform that provides a comprehensive suite of image editing and enhancement tools. With advanced artificial intelligence algorithms, AILab Tools empowers users to effortlessly enhance, edit, and transform their images, unlocking endless creative possibilities. From background removal and object erasure to facial editing, photo colorization, and cartoonization, AILab Tools offers a wide range of features designed to cater to both professional photographers and casual users alike. Whether you're looking to enhance your social media presence, create stunning visuals for your website, or simply touch up your personal photos, AILab Tools has everything you need to achieve professional-quality results with minimal effort.

UserWay is a web accessibility AI solution designed to ensure compliance with accessibility standards. It helps websites make their content accessible to people with disabilities by providing features such as screen reader optimization, keyboard navigation, and color contrast adjustments. UserWay aims to make the web a more inclusive place by enabling all users to access online content easily and efficiently.

Mind-Video is an AI tool that focuses on high-quality video reconstruction from brain activity data. It bridges the gap between image and video brain decoding by utilizing masked brain modeling, multimodal contrastive learning, spatiotemporal attention, and co-training with an augmented Stable Diffusion model. The tool aims to recover accurate semantic information from fMRI signals, enabling the generation of realistic videos based on brain activities.

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.

Outlit is a contract management software that uses AI to help companies reduce overhead costs and streamline workflows. It automates manual, tedious, and costly tasks such as risk analysis, negotiation, and contract knowledge base creation.

Legitt AI is an AI-powered Contract Lifecycle Management platform that offers a comprehensive solution for managing contracts at scale. It combines automation and intelligence to revolutionize contract management, ensuring efficiency, accuracy, and compliance with legal standards. The platform streamlines contract creation, signing, tracking, and management processes by embedding intelligence in every step. Legitt AI enhances contract review processes, contract tracking, and contract intelligence at scale, providing users with insights, recommendations, and automated workflows. With robust security measures, scalable infrastructure, and integrations with popular business tools, Legitt AI empowers businesses to manage contracts with precision and efficiency.

Zefort is an AI-powered contract management solution that offers a zero-effort approach to managing contracts. It allows users to create, sign, and store contracts with ease, providing features like eSignatures, automated reminders, and secure storage. Zefort is designed to streamline contract processes for legal teams, procurement, HR teams, sales teams, and company administration. The platform integrates advanced AI technology to enhance contract management efficiency and accuracy, catering to organizations of all sizes. With bank-level security measures and a user-friendly interface, Zefort ensures a seamless contract management experience.

Legaliser is an AI legal assistant that revolutionizes contract management by providing comprehensive AI analysis, intuitive drafting tools, and a diverse range of customizable templates. It quickly summarizes contracts, evaluates clauses for compliance, and offers targeted suggestions to enhance contract clarity and compliance. Legaliser streamlines document management with AI-driven summaries, clause ratings, and smart organization, making it an indispensable tool for legal professionals across diverse industries.

Pincites is an AI contract review tool designed for busy legal teams to streamline the contract review process. It offers automated redlining, suggestions, and trend analysis within Microsoft Word, helping legal professionals negotiate contracts faster and more efficiently. Pincites leverages AI to provide real-time feedback, learn user preferences, and identify patterns in contracts to enhance negotiation strategies.

ContractPodAi is an AI-driven contract management solution designed exclusively for legal and compliance use cases. It offers enterprise-grade GenAI models fine-tuned for legal tasks, modern AI-powered contract management solutions, and automation of legal requests from start to finish. The platform aims to save time, reduce errors, and unlock new insights by leveraging the power of Generative AI. ContractPodAi provides a comprehensive suite of features and solutions for various industries and departments, enabling users to streamline their workflows, enhance data security, and centralize contract and legal document management.

Bidlytics is a privacy-focused capture and proposal solution for Government Contracts (GovCon). It automates the process of identifying opportunities, analyzing solicitations, creating compliance matrices, and generating quality proposal and compliance documents. With enhanced privacy and security features, Bidlytics offers seamless bid discovery, automatic solicitation shredding, compliance matrix on autopilot, fast and accurate proposal generation, and continuous learning and optimization through AI-driven tools.

Go Legal AI is the UK's #1 Consumer Legal Tech Platform offering online legal services, support, and advice from top lawyers. The platform provides free lawyer consultations, generates legal documents 10x faster with award-winning Legal AI, reviews legal documents 90% faster, and offers expert advice from top lawyers and service providers at discounted rates. Users can get instant answers 24/7, collaborate and sign documents, monitor supply chain risks with instant alerts, and save money with exclusive deals from partners. The platform caters to both individuals and businesses, providing smart templates, risk & insolvency tracking, business health checks, legal insights, how-to guides, and glossaries.

Klarity is an AI-powered platform that automates accounting and compliance workflows traditionally offshored. It leverages AI to streamline documentation processes, enhance compliance, and drive real-world impact and sustainable scaling. Klarity helps businesses evolve into Exponential Organizations by optimizing functions, scaling efficiently, and driving innovation with AI-powered automation.

fynk is an AI Contract Management Software that offers a comprehensive solution for importing, drafting, reviewing, tracking, signing, analyzing, and managing contracts at scale. It features powerful templating, dynamic content creation, real-time collaboration, electronic signature, and various integrations. The software leverages AI technology for automated contract analysis, reducing manual processes and providing valuable insights throughout the contract lifecycle. fynk is designed to meet the specific requirements of European businesses, ensuring data protection and GDPR compliance. It aims to streamline contract workflows, save time, and enhance productivity for teams across different departments.

Docubee is an intelligent contract automation software that streamlines the contract creation, management, signing, and tracking process. It allows users to gather information for contracts, generate contracts swiftly through templates or AI, share contracts for review and approval, collaborate with internal and external participants in real-time, and capture secure and legally binding signatures on any device. Docubee also offers integration capabilities to connect with daily systems and APIs. The platform aims to accelerate contract processes, enhance transparency and efficiency, and scale with businesses' growth.

Procurement Sciences is an AI-powered platform that revolutionizes the capture, proposal, and business development processes for government contractors, commercial contractors, academic institutions, non-profits, and other businesses. The platform offers end-to-end automation, AI-driven solutions, and advanced tools to enhance efficiency, win rates, and competitiveness in the contracting market. By leveraging artificial intelligence, Procurement Sciences empowers teams to work smarter, save time, and focus on crafting data-driven proposals that align with their core competencies.

DocuChat is a revolutionary app that transforms the way users interact with their documents. It allows users to engage with PDF files and photos in a conversational manner, extracting information effortlessly and navigating through complex files with ease. Powered by ChatGPT, DocuChat enables users to have interactive and engaging conversations with their documents, obtain concise summaries, ask questions, and receive detailed explanations through an intuitive chat interface. By leveraging advanced AI algorithms, DocuChat provides users with smart navigation features, saving time and effort in document analysis and understanding.

Empower AI is an AI application that provides innovative technologies and specialized platforms to support federal missions and empower agency personnel to solve unique government challenges. The application helps federal agency leaders elevate their workforce productivity by leveraging the power of AI and other proven technologies. Empower AI offers solutions tailored to each specific agency's needs, ranging from automating routine tasks to analyzing vast amounts of data. The platform helps agency leaders achieve higher performance, accelerate decision-making accuracy, and achieve true digital transformation.

ChatPDF is an AI-powered application that allows users to chat with PDF files and websites, enhancing creativity and productivity. Users can easily ask questions, access advanced AI models, and benefit from unlimited chats and knowledge bases. The application offers different plans to cater to various needs, including a free plan for small projects and a premium plan for unlimited chats and priority support. ChatPDF is ideal for students, researchers, copywriters, marketers, sales managers, and customer support professionals.

TEAMCAL AI is the world's most advanced team scheduling software powered by AI. It simplifies coordination with third parties, across companies, teams across time zones, and applications effortlessly. The application offers features like AI scheduling in seconds, multi-team collaboration, seamless integration with existing workflow tools, and integrated solutions designed for specific business use cases. With various pricing plans catering to different business needs, TEAMCAL AI aims to optimize team scheduling, reduce manual errors, and enhance productivity.

Frigate Home Assistant Integration provides a rich media browser with thumbnails and navigation, sensor entities for camera FPS, detection FPS, process FPS, skipped FPS, and objects detected, binary sensor entities for object motion, camera entities for live view and object detected snapshot, switch entities for clips, detection, snapshots, and improve contrast, and support for multiple Frigate instances. It offers easy installation via HACS and manual installation options for advanced users. Users need to configure the `mqtt` integration for Frigate to work. Additionally, media browsing and a companion Lovelace card are available for enhanced user experience. Refer to the main Frigate documentation for detailed installation instructions and usage guidance.

Koko-aio shader is an all-in-one CRT shader tool that can be configured with various parameters to run on different GPUs. It aims to provide visual parameters to make monitors look similar to CRT displays without simulating their internal behavior. The tool includes features such as color corrections, B/W display colorization, antialiasing, noise effects, deconvergence, blurring/sharpening, interlacing, phosphor glow, and more. It also supports ambient lighting, vignette, integer scaling, and various image effects. Koko-aio is designed to enhance the visual experience of low-res content on high-resolution displays.

SUPIR is an AI-based image processing and upscaling tool that leverages cutting-edge technology to enhance image quality and resolution. The tool provides users with the ability to upscale images with high generalization and quality, as well as specific settings for light degradation scenarios. It offers a range of models and checkpoints for different use cases, along with detailed instructions for installation and usage. SUPIR also includes features for color fixing, linear CFG adjustments, and various prompts for image enhancement. The tool is designed for non-commercial use only and comes with a contact email for inquiries and permission requests for commercial use.

The RISE Journal Club is a bi-weekly reading group that provides a friendly environment for discussing state-of-the-art papers in medical image analysis, AI, and computer vision. The club aims to enhance critical and design thinking skills essential for researchers. Moderators introduce papers for discussion on various topics such as registration, segmentation, federated learning, fairness, and reinforcement learning. The club covers papers from machine and deep learning communities, offering a broad overview of cutting-edge methods.

This repository contains code for the paper 'Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models'. It focuses on fine-tuning CLIP in an unsupervised manner to enhance its robustness against visual adversarial attacks. By replacing the vision encoder of large vision-language models with the fine-tuned CLIP models, it achieves state-of-the-art adversarial robustness on various vision-language tasks. The repository provides adversarially fine-tuned ViT-L/14 CLIP models and offers insights into zero-shot classification settings and clean accuracy improvements.

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

This repository is a collection of papers on leveraging Large Language Models (LLMs) in Graph Tasks. It provides a comprehensive overview of how LLMs can enhance graph-related tasks by combining them with traditional Graph Neural Networks (GNNs). The integration of LLMs with GNNs allows for capturing both structural and contextual aspects of nodes in graph data, leading to more powerful graph learning. The repository includes summaries of various models that leverage LLMs to assist in graph-related tasks, along with links to papers and code repositories for further exploration.

A collection of papers and resources about Large Language Models (LLM) for Graph Learning (Graph). Integrating LLMs with graph learning techniques to enhance performance in graph learning tasks. Categorizes approaches based on four primary paradigms and nine secondary-level categories. Valuable for research or practice in self-supervised learning for recommendation systems.

The Medical_Image_Analysis repository focuses on X-ray image-based medical report generation using large language models. It provides pre-trained models and benchmarks for CheXpert Plus dataset, context sample retrieval for X-ray report generation, and pre-training on high-definition X-ray images. The goal is to enhance diagnostic accuracy and reduce patient wait times by improving X-ray report generation through advanced AI techniques.

Awesome-LLMs-for-Video-Understanding is a repository dedicated to exploring Video Understanding with Large Language Models. It provides a comprehensive survey of the field, covering models, pretraining, instruction tuning, and hybrid methods. The repository also includes information on tasks, datasets, and benchmarks related to video understanding. Contributors are encouraged to add new papers, projects, and materials to enhance the repository.

LLMs4TS is a repository focused on the application of cutting-edge AI technologies for time-series analysis. It covers advanced topics such as self-supervised learning, Graph Neural Networks for Time Series, Large Language Models for Time Series, Diffusion models, Mixture-of-Experts architectures, and Mamba models. The resources in this repository span various domains like healthcare, finance, and traffic, offering tutorials, courses, and workshops from prestigious conferences. Whether you're a professional, data scientist, or researcher, the tools and techniques in this repository can enhance your time-series data analysis capabilities.

GraphRAG Local Ollama is a repository that offers an adaptation of Microsoft's GraphRAG, customized to support local models downloaded using Ollama. It enables users to leverage local models with Ollama for large language models (LLMs) and embeddings, eliminating the need for costly OpenAPI models. The repository provides a simple setup process and allows users to perform question answering over private text corpora by building a graph-based text index and generating community summaries for closely-related entities. GraphRAG Local Ollama aims to improve the comprehensiveness and diversity of generated answers for global sensemaking questions over datasets.

LLM4IR-Survey is a collection of papers related to large language models for information retrieval, organized according to the survey paper 'Large Language Models for Information Retrieval: A Survey'. It covers various aspects such as query rewriting, retrievers, rerankers, readers, search agents, and more, providing insights into the integration of large language models with information retrieval systems.

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.

This repository focuses on unraveling the sources that large language models tap into for attribution or citation. It delves into the origins of facts, their utilization by the models, the efficacy of attribution methodologies, and challenges tied to ambiguous knowledge reservoirs, biases, and pitfalls of excessive attribution.

LLM Agents Papers is a repository containing must-read papers on Large Language Model Agents. It covers a wide range of topics related to language model agents, including interactive natural language processing, large language model-based autonomous agents, personality traits in large language models, memory enhancements, planning capabilities, tool use, multi-agent communication, and more. The repository also provides resources such as benchmarks, types of tools, and a tool list for building and evaluating language model agents. Contributors are encouraged to add important works to the repository.

This repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.

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.

xFinder is a model specifically designed for key answer extraction from large language models (LLMs). It addresses the challenges of unreliable evaluation methods by optimizing the key answer extraction module. The model achieves high accuracy and robustness compared to existing frameworks, enhancing the reliability of LLM evaluation. It includes a specialized dataset, the Key Answer Finder (KAF) dataset, for effective training and evaluation. xFinder is suitable for researchers and developers working with LLMs to improve answer extraction accuracy.

This repository is a collection of papers and resources related to recommendation systems, focusing on foundation models, transferable recommender systems, large language models, and multimodal recommender systems. It explores questions such as the necessity of ID embeddings, the shift from matching to generating paradigms, and the future of multimodal recommender systems. The papers cover various aspects of recommendation systems, including pretraining, user representation, dataset benchmarks, and evaluation methods. The repository aims to provide insights and advancements in the field of recommendation systems through literature reviews, surveys, and empirical studies.

I enhance children's drawings, keeping their charm with a playful touch.

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Enhance your photography skills with my photo analysis! Receive personalized critiques, technical tips, and professional insights. Upload photos and elevate your art.

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Enhance tenant-landlord interactions using a GPT chatbot that provides both parties fast access to housing laws and best practices.

Enhance Chrome extension development: Get expert AI assistance in building great Chrome Extensions. Expert in JavaScript, HTML, CSS, and API integration. Streamline your coding and debugging. Helps you transition Manifest V2 to Manifest V3.

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Produces realistic dialogue in multiple languages for authors and scriptwriters to enhance character interaction.

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Enhance GPT interactions with precise, insightful analysis. Uncover nuanced conversation depths with GPT Insight Analyzer. V.0.41 Start the dialogue—just say 'Hi'.

Typography layout design, typeface, consultation regarding font color, modern font layout Help to enhance the brand according to new typography trends.

Discover the revolutionary power of AI Chat Gbt, a platform that enables natural language conversations with advanced artificial intelligence. Engage in dialogue, ask questions, and receive intelligent responses to enhance your interactive communication experience.

GPT-powered essay rewriter designed to rephrase, enhance, and improve existing essays while maintaining the original meaning, tailored to specific instructions regarding style, tone, and desired improvements.

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A specialized assistant designed to streamline and enhance your email and social network correspondences, providing prompt, polite, and professional responses.

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