Best AI tools for< Develop Process Improvements >

JH360 AI is an AI-driven consulting service that helps companies tap into their true essence and explore new growth opportunities. They offer services such as market research, strategy development, and measurement and analysis. JH360 AI excels in process improvement by leveraging cutting-edge AI technology and expert methodologies. They provide tailor-made generative AI strategies, rapid prototyping, and smart AI integration to drive innovation and success across various industries.

Reform is a modern logistics software development platform that provides pre-built modules and AI capabilities to help teams build logistics applications quickly and efficiently. It offers features such as document AI for automating data capture, universal TMS integrations for seamless connectivity, embeddable customer dashboards for real-time data visibility, and more.

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.

GptSdk is an AI tool that simplifies incorporating AI capabilities into PHP projects. It offers dynamic prompt management, model management, bulk testing, collaboration chaining integration, and more. The tool allows developers to develop professional AI applications 10x faster, integrates with Laravel and Symfony, and supports both local and API prompts. GptSdk is open-source under the MIT License and offers a flexible pricing model with a generous free tier.

Framer is a web builder for creative professionals that allows users to create and ship websites with style. It provides a range of features to help users create beautiful and functional websites, including a drag-and-drop interface, a library of pre-built components, and the ability to collaborate with other users. Framer is designed to make it easy for users to create websites without having to write code, and it is suitable for both beginners and experienced web developers.

neoSVG is an AI-powered application that allows users to generate scalable vector graphics (SVGs) from simple text prompts. The platform utilizes state-of-the-art AI technology and Bezier curve paths with mathematical rules to create unique and high-resolution vector outputs. Users can create a variety of visuals for web design, mobile apps, print media, AR/VR applications, UI/UX designs, logos, and more. neoSVG aims to provide efficient SVG generation by leveraging powerful servers and continuous research to enhance its AI capabilities.

atQor is an AI consulting company specializing in Azure and Data & AI solutions. They provide services to enterprise clients to lead them in the digital landscape, offering innovative solutions for increased productivity and revenue. With a focus on AI technologies, atQor equips businesses to excel in the AI arena and stay at the forefront of technology.

LlamaGen.Ai is an ultimate AI-powered ACG creation tool that allows users to effortlessly create comics, webtoons, manga, and manhwa online. It breaks the limits of anime, comics, and games creation, offering endless possibilities for storytelling and visual art. With cutting-edge technology and user-friendly features, LlamaGen.Ai revolutionizes the way creators generate engaging comic scenes and stunning cartoons, providing a seamless experience for both beginners and experienced artists.

Namique is an AI-powered name generator that helps businesses create short, brandable, and memorable names. It utilizes an advanced AI model to generate unique and attention-grabbing names. Namique also offers custom filters to help businesses find the perfect name for their brand. Additionally, Namique provides discounts on domain purchases when a name generated by Namique is used.

LoreKeeper is an AI-powered tool designed to assist tabletop role-players in creating, planning, and running campaigns. It simplifies the game planning process by transforming complex tasks into simple ones, allowing users to unleash their creativity and bring their RPG universe to life. With features like creating worlds, rules, NPCs, and rendering images and game assets, LoreKeeper revolutionizes the TTRPG gaming experience, making it easier for users to focus on storytelling and gameplay rather than intricate details.

Aflow is an AI-driven service designed to help artists enhance their productivity and creativity. It aims to simplify the artistic process by enabling users to focus on what truly matters, such as developing skills, creating content, and achieving goals. With Aflow, users can get into a flow state where they can be more efficient and effective in their work. The platform provides a supportive environment for artists to grow and succeed, offering a range of features to inspire and motivate them.

CreateApp AI is an AI-powered app development platform that allows users to develop their applications in a matter of days, rather than months. The platform is trusted by leading companies and startup incubators, offering services from application design to development and maintenance. CreateApp.ai simplifies the app development process by providing coding, testing, and launching services across major platforms like Web, iOS, and Android. With a focus on user ideas, the platform aims to bring them to life through seamless development and maintenance solutions.

Senior AI is a platform that leverages Artificial Intelligence to help individuals and companies develop and manage software products more efficiently and securely. It offers codebase awareness, bug analysis, security optimization, and productivity enhancements, making software development faster and more reliable. The platform provides different pricing tiers suitable for individuals, power users, small teams, growing teams, and large teams, with the option for enterprise solutions. Senior AI aims to supercharge software development with an AI-first approach, guiding users through the development process and providing tailored code suggestions and security insights.

AI Investing Tools is a curated directory of AI tools designed to help users automate their investing process. The platform offers a handpicked collection of AI investing tools that assist in making more money, developing trading strategies, automating investing, rebalancing portfolios, and analyzing markets. It aims to leverage AI technology to enhance trading efficiency, optimize portfolios, and eliminate emotional biases in investment decisions.

StoryLegend is an AI-powered story writing dashboard that helps writers create compelling stories by providing tools for character development, plot analysis, and real-time writing assistance. The platform offers features such as AI writing assistant, story structure guide, quick draft generation, writing analysis, and character development. Writers can easily collaborate, track progress, and unleash their creativity with the help of AI technology. StoryLegend aims to streamline the writing process and enhance storytelling capabilities for authors and content creators.

Figma is a collaborative interface design tool that allows design and development teams to work together on building great products. It offers features like design and prototyping in one place, collaborating with a digital whiteboard, translating designs into code, creating presentations, and exploring AI features. Figma helps streamline the product development process by providing tools for design systems, prototyping, UX design, web design, wireframing, and more. It aims to bring design and development teams together to create a seamless workflow and improve productivity.

Dreamwriter is an AI-powered content creation tool that allows users to design beautiful, on-brand premium content in minutes. By leveraging the power of AI and the user's brand voice, Dreamwriter helps in developing hard-hitting PDFs & PPTs tailored to the exact target audience. The tool features an intuitive UI editor, real-time collaboration, simplified daily content generation, and the ability to write in multiple languages. Dreamwriter aims to streamline the content creation process by providing a toolbox of leading solutions to produce premium content at unprecedented speeds.

Autory is a bespoke automation solution provider that helps businesses automate repetitive and boring tasks. They work closely with clients to understand their specific needs and develop tailored solutions that deliver value where it's needed. Autory's mission is to free up businesses from mundane tasks so they can focus on more strategic initiatives.

The Predictive Index is a talent optimization platform that offers personalized HR software to help organizations hire, develop, and retain top talent. It provides validated hiring assessments, leadership development tools, team development insights, and employee engagement solutions. The platform equips managers with actionable tools to coach, develop, and hold their teams accountable, all personalized to each direct report using PI data. With a focus on science-backed solutions, The Predictive Index aims to help organizations make informed decisions and improve overall team performance.

The Stanford Artificial Intelligence Laboratory (SAIL) is a center of excellence for Artificial Intelligence research, teaching, theory, and practice since its founding in 1963. SAIL faculty and students are committed to developing the theoretical foundations of AI, advancing the state-of-the-art in AI technologies, and applying AI to address real-world problems. SAIL is a vibrant and collaborative community of researchers, students, and staff who are passionate about AI and its potential to make the world a better place.

PPTAgent is an innovative system that automatically generates presentations from documents. It employs a two-step process for quality assurance and introduces PPTEval for comprehensive evaluation. With dynamic content generation, smart reference learning, and quality assessment, PPTAgent aims to streamline presentation creation. The tool follows an analysis phase to learn from reference presentations and a generation phase to develop structured outlines and cohesive slides. PPTEval evaluates presentations based on content accuracy, visual appeal, and logical coherence.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

Robocorp is a platform that allows users to create, deploy, and operate Python automations and AI actions. It provides an easy way to extend the capabilities of AI agents, assistants, and copilots with custom actions written in Python. Users can create and deploy tools, skills, loaders, and plugins that securely connect any AI Assistant platform to their data and applications. The Robocorp Action Server makes Python scripts compatible with ChatGPT and LangChain by automatically creating and exposing an API based on function declaration, type hints, and docstrings. It simplifies the process of developing and deploying AI actions, enabling users to interact with AI frameworks effortlessly.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

FiftyOne is an open-source tool designed for building high-quality datasets and computer vision models. It supercharges machine learning workflows by enabling users to visualize datasets, interpret models faster, and improve efficiency. With FiftyOne, users can explore scenarios, identify failure modes, visualize complex labels, evaluate models, find annotation mistakes, and much more. The tool aims to streamline the process of improving machine learning models by providing a comprehensive set of features for data analysis and model interpretation.

**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

This GitHub repository provides support for developers, partners, and customers to create advanced GenAI solutions on SAP Business Technology Platform (SAP BTP) following the Reference Architecture. It includes examples on integrating Foundation Models and Large Language Models via Generative AI Hub, using LangChain in CAP, and implementing advanced techniques like Retrieval Augmented Generation (RAG) through embeddings and SAP HANA Cloud's Vector Engine for enhanced value in customer support scenarios.

This is a development tutorial for eBPF based on CO-RE (Compile Once, Run Everywhere). It provides practical eBPF development practices from beginner to advanced, including basic concepts, code examples, and real-world applications. The tutorial focuses on eBPF examples in observability, networking, security, and more. It aims to help eBPF application developers quickly grasp eBPF development methods and techniques through examples in languages such as C, Go, and Rust. The tutorial is structured with independent eBPF tool examples in each directory, covering topics like kprobes, fentry, opensnoop, uprobe, sigsnoop, execsnoop, exitsnoop, runqlat, hardirqs, and more. The project is based on libbpf and frameworks like libbpf, Cilium, libbpf-rs, and eunomia-bpf for development.

AlwaysReddy is a simple LLM assistant with no UI that you interact with entirely using hotkeys. It can easily read from or write to your clipboard, and voice chat with you via TTS and STT. Here are some of the things you can use AlwaysReddy for: - Explain a new concept to AlwaysReddy and have it save the concept (in roughly your words) into a note. - Ask AlwaysReddy "What is X called?" when you know how to roughly describe something but can't remember what it is called. - Have AlwaysReddy proofread the text in your clipboard before you send it. - Ask AlwaysReddy "From the comments in my clipboard, what do the r/LocalLLaMA users think of X?" - Quickly list what you have done today and get AlwaysReddy to write a journal entry to your clipboard before you shutdown the computer for the day.

The 'unilm' repository is a collection of tools, models, and architectures for Foundation Models and General AI, focusing on tasks such as NLP, MT, Speech, Document AI, and Multimodal AI. It includes various pre-trained models, such as UniLM, InfoXLM, DeltaLM, MiniLM, AdaLM, BEiT, LayoutLM, WavLM, VALL-E, and more, designed for tasks like language understanding, generation, translation, vision, speech, and multimodal processing. The repository also features toolkits like s2s-ft for sequence-to-sequence fine-tuning and Aggressive Decoding for efficient sequence-to-sequence decoding. Additionally, it offers applications like TrOCR for OCR, LayoutReader for reading order detection, and XLM-T for multilingual NMT.

LLM4AD is an open-source Python-based platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). It provides unified interfaces for methods, tasks, and LLMs, along with features like evaluation acceleration, secure evaluation, logs, GUI support, and more. The platform was originally developed for optimization tasks but is versatile enough to be used in other areas such as machine learning, science discovery, game theory, and engineering design. It offers various search methods and algorithm design tasks across different domains. LLM4AD supports remote LLM API, local HuggingFace LLM deployment, and custom LLM interfaces. The project is licensed under the MIT License and welcomes contributions, collaborations, and issue reports.

BMF (Babit Multimedia Framework) is a cross-platform, multi-language, customizable multimedia processing framework developed by ByteDance. It offers native compatibility with Linux, Windows, and macOS, Python, Go, and C++ APIs, and high performance with strong GPU acceleration. BMF allows developers to enhance its features independently and provides efficient data conversion across popular frameworks and hardware devices. BMFLite is a client-side lightweight framework used in apps like Douyin/Xigua, serving over one billion users daily. BMF is widely used in video streaming, live transcoding, cloud editing, and mobile pre/post processing scenarios.

NeMo Framework is a generative AI framework built for researchers and pytorch developers working on large language models (LLMs), multimodal models (MM), automatic speech recognition (ASR), and text-to-speech synthesis (TTS). The primary objective of NeMo is to provide a scalable framework for researchers and developers from industry and academia to more easily implement and design new generative AI models by being able to leverage existing code and pretrained models.

The Artificial Intelligence Controller Interface (AICI) lets you build Controllers that constrain and direct output of a Large Language Model (LLM) in real time. Controllers are flexible programs capable of implementing constrained decoding, dynamic editing of prompts and generated text, and coordinating execution across multiple, parallel generations. Controllers incorporate custom logic during the token-by-token decoding and maintain state during an LLM request. This allows diverse Controller strategies, from programmatic or query-based decoding to multi-agent conversations to execute efficiently in tight integration with the LLM itself.

Freeciv-web is an open-source turn-based strategy game that can be played in any HTML5 capable web-browser. It features in-depth gameplay, a wide variety of game modes and options. Players aim to build cities, collect resources, organize their government, and build an army to create the best civilization. The game offers both multiplayer and single-player modes, with a 2D version with isometric graphics and a 3D WebGL version available. The project consists of components like Freeciv-web, Freeciv C server, Freeciv-proxy, Publite2, and pbem for play-by-email support. Developers interested in contributing can check the GitHub issues and TODO file for tasks to work on.

Writing Tools is an Apple Intelligence-inspired application for Windows, Linux, and macOS that supercharges your writing with an AI LLM. It allows users to instantly proofread, optimize text, and summarize content from webpages, YouTube videos, documents, etc. The tool is privacy-focused, open-source, and supports multiple languages. It offers powerful features like grammar correction, content summarization, and LLM chat mode, making it a versatile writing assistant for various tasks.

Improves operational efficiency by optimizing processes and reducing waste.

Optimizes business operations through process enhancements.

Formal ops consultant with PDF integration

No one knows more Six Sigma than us! You can try our GPT Six Sigma Guru for study or simply to find answers to your problems.

Technical satellite security expert trained on space focused cybersecurity frameworks, best practices and process.

Own Your Leading & Lagging Indicators: Specializes in developing tailored business metrics, such as OKRs, Balanced Scorecards and Business Process RACI Matrix, to optimize performance and strategy execution. (v1.4)

Every been curious about the furry fandom or furries in general? I'm here to help you make an original fursona to call your own! I'll guide you through the process and help you make something original and special.

Ich will dir beim Gründungsprozess helfen. Vom AI2E Projekt der FH Kiel. Research Version - bitte Feedback an [email protected] .

专业耐心的外贸CEO顾问。

Friendly and informative MAX/MSP guide.

Supports organization by managing HR operational activities.

Helps beginners understand HLSL concepts and terminology

Streamlines HR processes through effective HRIS system management.

Helps beginners understand OpenGL 3.3 concepts and terminology

Professional IT Business Analyst, adept in User Stories, Acceptance Criteria, and Test Cases.

Expert in marketing and creative writing, with a flair for poetry and UX design.

你可以问我关于中国商业综合体开发及运营的一切事宜

Develop your own game engine

I develop ideas into concepts and plan projects.

Develop a video strategy, concept & storyboard