Best AI tools for< Plan Workshops >

Plan Fast is an AI-powered scrum planning poker app designed to enhance team productivity. It offers features such as AI-powered issue identification, effortless Jira integration, and a wide range of themes to personalize the planning experience. Plan Fast aims to provide accurate story and task estimates, streamline the planning process, and improve overall team collaboration.

Plan Quest is an AI-powered planning tool that helps you set and track goals, create visual timelines, and collaborate with others. It offers a variety of features to help you stay organized and motivated, including AI-powered plan creation, timeline visualization, OKR tracking, a Notion-like editor, and a canvas for reflection. Plan Quest is designed to help you achieve your goals, whether they're personal or professional.

AI Lesson Plan is an AI application designed to help educators create custom, age-specific lesson plans tailored to their classes in a fraction of the time. The generative AI platform allows for the creation of engaging lesson plans and resources, offering subject matter expertise, customizable templates, textbook eidetic memory, and multiple plan formats. It aims to cut hours off a teacher's work week by effortlessly generating tailored lesson plans and accompanying resources.

Motion is an AI-powered work planning and scheduling tool that helps individuals and teams be more productive and organized. It uses a proprietary algorithm called The Happiness Algorithm to automatically prioritize tasks, schedule meetings, and track progress. Motion integrates with popular calendars, task managers, and other productivity tools, making it easy to use and customize to your workflow. With Motion, you can save time, reduce stress, and achieve your goals more efficiently.

LivePlan is a business plan software that offers performance tracking and financial forecasting tools to help small businesses plan, launch, and grow successfully. It provides a user-friendly interface with AI-powered features, such as the LivePlan Assistant, to guide users through creating comprehensive business plans and financial reports. LivePlan also offers interactive demos, integrations with accounting software like QuickBooks and Xero, and a range of solutions tailored for different business stages and needs. With over 1 million users, LivePlan has helped entrepreneurs and business owners achieve their goals by providing tools and resources to streamline the planning process and improve decision-making.

Nuelink is a social media scheduling tool with automation superpowers, including AI capabilities. It helps users organize, automate, analyze, and manage their social media accounts from a centralized platform. With features like bulk scheduling, AI writing assistant, brand management, and more, Nuelink streamlines social media management and saves time for businesses and individuals. The tool offers a 14-day free trial with no questions asked cancellation policy and has garnered positive reviews from users across various industries.

Trevor AI is a daily planner and task scheduling co-pilot that helps users organize, schedule, and automate their tasks. It features a task hub, calendar integration, AI scheduling suggestions, focus mode, and daily planning insights. Trevor AI is designed to help users improve their productivity, clarity, and focus.

BeforeSunset AI is an AI-powered workspace for busy professionals and teams. It is an AI Personal Assistant that plans your day based on your schedule and to-do list by time-blocking on your calendar. It helps you stay in sync, stay focused, and achieve your goals.

CONTADU is a content intelligence platform designed to help users plan, optimize, and create content that aligns with user intent and ranks well on Google. It offers features such as content strategy planning, competitive landscape analysis, content optimization, generative AI, content management, and semantic SEO. Users can benefit from AI-based semantic expertise, topical authority planning, and AI content planning. The platform also provides tools for content creation, including NLP-based recommendations, document drafting, content scoring, and AI writing. With a focus on user intent and SEO optimization, CONTADU aims to help users create high-quality content efficiently and effectively.

Wanderboat AI is an intelligent trip planner that helps users find restaurants, attractions, and events in minutes. By leveraging artificial intelligence, the application provides personalized recommendations based on user preferences and interests. Users can easily plan their trips, discover new places, and create memorable experiences with Wanderboat AI.

TimeHero is an AI-powered productivity tool that offers smart task planning and work management solutions for teams and individuals. It helps users schedule, manage, and automate daily tasks, projects, and calendar events in one centralized platform. TimeHero stands out by automatically planning when to work on tasks based on availability, adjusting plans instantly when events change, tasks are completed early, or priorities shift. With features like adaptive planning, autonomous recurring tasks, smart workflow templates, built-in time tracking, automatic risk detection, and project forecasting, TimeHero streamlines work processes and enhances productivity for remote and in-office teams alike.

AI Meal Planner is a personalized AI-powered meal planning tool that generates customized meal plans based on your dietary needs and preferences. It provides dynamic meal suggestions, interactive recipes, and convenient grocery lists, all tailored to your taste, health goals, and seasonality.

Wonderplan is the best AI trip planner and travel planner that helps users dream big and plan easy. It offers personalized travel recommendations, itinerary building, and trip planning services. Users can input their destination, dates, and preferences to receive tailored suggestions for activities and locations. Wonderplan utilizes AI technology to extract information from blogs and videos, curate exceptional travel experiences, and summarize global travel wisdom. The platform provides a user-friendly interface for seamless planning, routing, and visualization of travel plans.

Story Path is an AI-powered book planning and writer's block cure app. It helps writers plan their stories, generate fresh ideas, and overcome writer's block. With Story Path, writers can input a brief description of their story and the app will generate branching options for the plot. Writers can then expand and explore their favorite paths and customize the details to their liking. Story Path is a valuable tool for writers of all levels, from beginners to published authors.

MyMealPlan is an AI-powered meal planning app that helps users create personalized meal plans based on their dietary preferences, allergies, and restrictions. The app offers a variety of recipes from celebrity chefs and curates a list of the best recipes from the web. MyMealPlan also provides users with a grocery list to make shopping for meals easier.

Planit Earth is an AI-powered travel planning tool that helps you create the perfect itinerary for your next getaway. Simply tell us where you're going, how many days you have, and what activities you're interested in, and we'll do the rest. We'll take into account your budget, interests, and travel style to create a personalized itinerary that's perfect for you.

PlanTripAI is an AI-powered trip planning tool that helps users create customized itineraries based on their interests, preferences, and budget. The tool uses a vast library of cities, guides, and itineraries to generate automated itineraries that can be previewed, downloaded, and shared. PlanTripAI offers a variety of trip preferences to choose from, including city exploration, cultural immersion, nature exploration, food discovery, nightlife, photography, luxury travel, relaxation, backpacking, experience seeking, and active travel. Users can also specify their budget and preferred transportation options. PlanTripAI's itineraries are fully owned by the user, including selling rights and copyright.

Skoot is a family-friendly AI travel and activity planning service that helps users plan itineraries, book activities, and find deals on destinations. It uses AI technology to provide personalized recommendations based on users' preferences and needs. Skoot is designed to make travel planning easier and more enjoyable for families.

Triipper is an AI trip planner that offers personalized travel itineraries made easy. It uses artificial intelligence to help users plan their trips efficiently by generating tailored itineraries based on their preferences. The platform also provides insights on destinations, localities, and curated city pages to enhance the travel experience. Triipper aims to simplify trip planning and make it more enjoyable for users by leveraging AI technology.

Revent is an event planning platform that helps users organize, promote, and manage their events. It offers a suite of features to help users with every aspect of event planning, from finding the right venue to managing guest lists and tracking RSVPs. Revent also offers a unique AI-powered assistant, Eva, who can help users with a variety of tasks, such as finding vendors, creating event timelines, and answering questions.

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.

skpro is a library for supervised probabilistic prediction in python. It provides `scikit-learn`-like, `scikit-base` compatible interfaces to: * tabular **supervised regressors for probabilistic prediction** \- interval, quantile and distribution predictions * tabular **probabilistic time-to-event and survival prediction** \- instance-individual survival distributions * **metrics to evaluate probabilistic predictions** , e.g., pinball loss, empirical coverage, CRPS, survival losses * **reductions** to turn `scikit-learn` regressors into probabilistic `skpro` regressors, such as bootstrap or conformal * building **pipelines and composite models** , including tuning via probabilistic performance metrics * symbolic **probability distributions** with value domain of `pandas.DataFrame`-s and `pandas`-like interface

sktime is a Python library for time series analysis that provides a unified interface for various time series learning tasks such as classification, regression, clustering, annotation, and forecasting. It offers time series algorithms and tools compatible with scikit-learn for building, tuning, and validating time series models. sktime aims to enhance the interoperability and usability of the time series analysis ecosystem by empowering users to apply algorithms across different tasks and providing interfaces to related libraries like scikit-learn, statsmodels, tsfresh, PyOD, and fbprophet.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

GOLEM is an open-source AI framework focused on optimization and learning of structured graph-based models using meta-heuristic methods. It emphasizes the potential of meta-heuristics in complex problem spaces where gradient-based methods are not suitable, and the importance of structured models in various problem domains. The framework offers features like structured model optimization, metaheuristic methods, multi-objective optimization, constrained optimization, extensibility, interpretability, and reproducibility. It can be applied to optimization problems represented as directed graphs with defined fitness functions. GOLEM has applications in areas like AutoML, Bayesian network structure search, differential equation discovery, geometric design, and neural architecture search. The project structure includes packages for core functionalities, adapters, graph representation, optimizers, genetic algorithms, utilities, serialization, visualization, examples, and testing. Contributions are welcome, and the project is supported by ITMO University's Research Center Strong Artificial Intelligence in Industry.

The LLM RAG Workshop repository provides a workshop on using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to generate and understand text in a human-like manner. It includes instructions on setting up the environment, indexing Zoomcamp FAQ documents, creating a Q&A system, and using OpenAI for generation based on retrieved information. The repository focuses on enhancing language model responses with retrieved information from external sources, such as document databases or search engines, to improve factual accuracy and relevance of generated text.

The 'ai-dev-2024-ml-workshop' repository contains materials for the Deploy and Monitor ML Pipelines workshop at the AI_dev 2024 conference in Paris, focusing on deployment designs of machine learning pipelines using open-source applications and free-tier tools. It demonstrates automating data refresh and forecasting using GitHub Actions and Docker, monitoring with MLflow and YData Profiling, and setting up a monitoring dashboard with Quarto doc on GitHub Pages.

This repository is the workshop repository for the Causal Modeling in Machine Learning Workshop on Altdeep.ai. The material is open source and free. The course covers causality in model-based machine learning, Bayesian modeling, interventions, counterfactual reasoning, and deep causal latent variable models. It aims to equip learners with the ability to build causal reasoning algorithms into decision-making systems in data science and machine learning teams within top-tier technology organizations.

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

Awesome-Story-Generation is a repository that curates a comprehensive list of papers related to Story Generation and Storytelling, focusing on the era of Large Language Models (LLMs). The repository includes papers on various topics such as Literature Review, Large Language Model, Plot Development, Better Storytelling, Story Character, Writing Style, Story Planning, Controllable Story, Reasonable Story, and Benchmark. It aims to provide a chronological collection of influential papers in the field, with a focus on citation counts for LLMs-era papers and some earlier influential papers. The repository also encourages contributions and feedback from the community to improve the collection.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

Awesome-Embedded is a curated list of resources for embedded systems enthusiasts. It covers a wide range of topics including MCU programming, RTOS, Linux kernel development, assembly programming, machine learning & AI on MCU, utilities, tips & tricks, and more. The repository provides valuable information, tutorials, and tools for individuals interested in embedded systems development.

AIDE is a machine learning code generation agent that can generate solutions for machine learning tasks from natural language descriptions. It has the following features: 1. **Instruct with Natural Language**: Describe your problem or additional requirements and expert insights, all in natural language. 2. **Deliver Solution in Source Code**: AIDE will generate Python scripts for the **tested** machine learning pipeline. Enjoy full transparency, reproducibility, and the freedom to further improve the source code! 3. **Iterative Optimization**: AIDE iteratively runs, debugs, evaluates, and improves the ML code, all by itself. 4. **Visualization**: We also provide tools to visualize the solution tree produced by AIDE for a better understanding of its experimentation process. This gives you insights not only about what works but also what doesn't. AIDE has been benchmarked on over 60 Kaggle data science competitions and has demonstrated impressive performance, surpassing 50% of Kaggle participants on average. It is particularly well-suited for tasks that require complex data preprocessing, feature engineering, and model selection.

Cleanlab helps you **clean** data and **lab** els by automatically detecting issues in a ML dataset. To facilitate **machine learning with messy, real-world data** , this data-centric AI package uses your _existing_ models to estimate dataset problems that can be fixed to train even _better_ models.

Awesome-LLM-Inference: A curated list of 📙Awesome LLM Inference Papers with Codes, check 📖Contents for more details. This repo is still updated frequently ~ 👨‍💻‍ Welcome to star ⭐️ or submit a PR to this repo!

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.

The 'Awesome LLMs Planning Reasoning' repository is a curated collection focusing on exploring the capabilities of Large Language Models (LLMs) in planning and reasoning tasks. It includes research papers, code repositories, and benchmarks that delve into innovative techniques, reasoning limitations, and standardized evaluations related to LLMs' performance in complex cognitive tasks. The repository serves as a comprehensive resource for researchers, developers, and enthusiasts interested in understanding the advancements and challenges in leveraging LLMs for planning and reasoning in real-world scenarios.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

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Create an actionable plan for a workshop using expert facilitator knowledge

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A formal tone GPT for crafting work plans and summaries.

Your expert planning assistant.

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Creates detailed business plans from a category or phrase.

Crafts tailored marketing plans with a creative and practical approach.

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Expert in self-funded health plans, focusing on finance, stop loss, and data analytics.

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Senior SEO Strategist creating detailed 6-month plans with a comprehensive approach.

Your GPT Health Planner! Use me to tailor a custom Fitness and Nutrition plan. *Do not use information from this GPT as medical advice.*

PR campaign plan builder

I create personalized fitness and diet plans based on user input

Build an inbound marketing plan using this GPT. Generate multiple inbound marketing ideas tailored to the customer research process, funnel, and marketing goals.

Inventor's Idea Analysis and Business Plan Development Template

Plan