Best AI tools for< Milestone Tracker >

Bottell is a digital parenting companion that provides personalized advice, daily tips, support, and milestone coaching to help parents ensure their child is on the right track. It uses the power of ChatGPT to provide intelligent, thorough, and empathic answers that are tailored to each child's unique needs. Bottell also offers a personalized blog with age-appropriate tips and ideas for child development, and a milestone coach to help parents track and navigate developmental milestones with confidence.

Onoco is a comprehensive parenting app designed to track, predict, and share care for babies. It offers a range of features to help parents monitor their baby's development, create customized schedules, track milestones, share information with caregivers, and access science-based education. The app aims to simplify parenting by providing a smart, simple, safe, and easy-to-share platform for all caregivers involved. Onoco bridges the gap between scientific research and everyday parenting, empowering parents with expert knowledge and tools to support their parenting journey.

Summit is an AI life coach application designed to help users organize and track their goals effectively. It provides personalized coaching, accountability, and support 24/7. With features like breaking down big goals into achievable milestones, creating accountability groups, and offering tailored strategies, Summit aims to assist users in achieving their goals. The app stands out for its user-friendly interface, fun features like the Wheel of Life, and the ability to customize the coaching style. Summit is a valuable tool for individuals seeking external motivation, personalized guidance, and a structured approach to goal setting and achievement.

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

Workdiary is a game-changing productivity website designed to help users seamlessly organize and streamline their work tasks, achievements, and goals. It offers features such as AI Integration, goal setting and tracking, project management, milestone celebration, career guidance, and badge collection. Users can utilize their personal OpenAI key to enhance project outcomes, track progress, and receive actionable guidance to advance in their careers. Workdiary aims to empower users to take control of their professional journey and shape their future with a tool that evolves with their needs.

Emerge AI is an AI-driven wellness application that offers a unique experience by providing AI-generated digital companions to support users on their wellness journey. Through innovative NFT technology, users can earn tokens by achieving fitness milestones, contributing to the growth of their digital pets. The app also focuses on networking with friends to create a vibrant community around wellness and technology. With a comprehensive suite of features, Emerge AI aims to empower users in achieving wellness excellence.

Ringi is an AI application designed to enhance relationships, specifically targeting adult couples for improving their romantic and marital life. The app utilizes artificial intelligence to provide personalized recommendations and advice to strengthen emotional connections and foster a deeper bond between partners. With a focus on enhancing communication, understanding, and overall relationship satisfaction, Ringi aims to help couples navigate challenges and celebrate milestones together.

Kintext is an AI assistant designed to support parents in their journey of raising children. It provides personalized recommendations and advice based on the child's age, behavior, and developmental milestones. The platform offers a wide range of features to help parents navigate various parenting challenges, such as sleep training, feeding tips, and educational activities. Kintext aims to empower parents with the knowledge and resources they need to foster healthy development and strong parent-child relationships.

Trust Stamp is a global provider of AI-powered identity services offering a full suite of identity tools, including biometric multi-factor authentication, document validation, identity validation, duplicate detection, and geolocation services. The application is designed to empower organizations across various sectors with advanced biometric identity solutions to reduce fraud, protect personal data privacy, increase operational efficiency, and reach a broader user base worldwide through unique data transformation and comparison capabilities. Founded in 2016, Trust Stamp has achieved significant milestones in net sales, gross profit, and strategic partnerships, positioning itself as a leader in the identity verification industry.

Samantha is an AI-powered personal assistant that offers empathetic chat, smart journaling, and intelligent note-taking features. It provides mindfulness techniques, self-care guidance, relationship insights, personal development support, emotion management, habit-building strategies, and productivity assistance. Users can journal their daily experiences, track news, events, and milestones, and receive AI-driven insights to optimize routines and build better habits. Samantha has received positive feedback for its supportive and personalized approach, helping users cope with stress, improve well-being, and navigate challenging situations.

MONAI is a PyTorch-based, open-source framework for deep learning in healthcare imaging. It provides a comprehensive set of tools for medical image analysis, including data preprocessing, model training, and evaluation. MONAI is designed to be flexible and easy to use, making it a valuable resource for researchers and developers in the field of medical imaging.

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.

Aim is an open-source, self-hosted ML experiment tracking tool designed to handle 10,000s of training runs. Aim provides a performant and beautiful UI for exploring and comparing training runs. Additionally, its SDK enables programmatic access to tracked metadata — perfect for automations and Jupyter Notebook analysis. **Aim's mission is to democratize AI dev tools 🎯**

Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.

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-LLM is a curated list of resources related to large language models, focusing on papers, projects, frameworks, tools, tutorials, courses, opinions, and other useful resources in the field. It covers trending LLM projects, milestone papers, other papers, open LLM projects, LLM training frameworks, LLM evaluation frameworks, tools for deploying LLM, prompting libraries & tools, tutorials, courses, books, and opinions. The repository provides a comprehensive overview of the latest advancements and resources in the field of large language models.

Tabby is a self-hosted AI coding assistant, offering an open-source and on-premises alternative to GitHub Copilot. It boasts several key features: * Self-contained, with no need for a DBMS or cloud service. * OpenAPI interface, easy to integrate with existing infrastructure (e.g Cloud IDE). * Supports consumer-grade GPUs.

The Spring AI project provides a Spring-friendly API and abstractions for developing AI applications. It offers a portable client API for interacting with generative AI models, enabling developers to easily swap out implementations and access various models like OpenAI, Azure OpenAI, and HuggingFace. Spring AI also supports prompt engineering, providing classes and interfaces for creating and parsing prompts, as well as incorporating proprietary data into generative AI without retraining the model. This is achieved through Retrieval Augmented Generation (RAG), which involves extracting, transforming, and loading data into a vector database for use by AI models. Spring AI's VectorStore abstraction allows for seamless transitions between different vector database implementations.

Nucleoid is a declarative (logic) runtime environment that manages both data and logic under the same runtime. It uses a declarative programming paradigm, which allows developers to focus on the business logic of the application, while the runtime manages the technical details. This allows for faster development and reduces the amount of code that needs to be written. Additionally, the sharding feature can help to distribute the load across multiple instances, which can further improve the performance of the system.

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.

Midori AI is a cutting-edge initiative dedicated to advancing the field of artificial intelligence through research, development, and community engagement. They focus on creating innovative AI solutions, exploring novel approaches, and empowering users to harness the power of AI. Key areas of focus include cluster-based AI, AI setup assistance, AI development for Discord bots, model serving and hosting, novel AI memory architectures, and Carly - a fully simulated human with advanced AI capabilities. They have also developed the Midori AI Subsystem to streamline AI workloads by providing simplified deployment, standardized configurations, isolation for AI systems, and a growing library of backends and tools.

big-AGI is an AI suite designed for professionals seeking function, form, simplicity, and speed. It offers best-in-class Chats, Beams, and Calls with AI personas, visualizations, coding, drawing, side-by-side chatting, and more, all wrapped in a polished UX. The tool is powered by the latest models from 12 vendors and open-source servers, providing users with advanced AI capabilities and a seamless user experience. With continuous updates and enhancements, big-AGI aims to stay ahead of the curve in the AI landscape, catering to the needs of both developers and AI enthusiasts.

RSS Can is a tool designed to simplify and improve RSS feed management. It supports various systems and architectures, including Linux and macOS. Users can download the binary from the GitHub release page or use the Docker image for easy deployment. The tool provides CLI parameters and environment variables for customization. It offers features such as memory and Redis cache services, web service configuration, and rule directory settings. The project aims to support RSS pipeline flow, NLP tasks, integration with open-source software rules, and tools like a quick RSS rules generator.

MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud). MLflow's current components are: * `MLflow Tracking `_: An API to log parameters, code, and results in machine learning experiments and compare them using an interactive UI. * `MLflow Projects `_: A code packaging format for reproducible runs using Conda and Docker, so you can share your ML code with others. * `MLflow Models `_: A model packaging format and tools that let you easily deploy the same model (from any ML library) to batch and real-time scoring on platforms such as Docker, Apache Spark, Azure ML and AWS SageMaker. * `MLflow Model Registry `_: A centralized model store, set of APIs, and UI, to collaboratively manage the full lifecycle of MLflow Models.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

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)

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

The Persian License Plate Recognition (PLPR) system is a state-of-the-art solution designed for detecting and recognizing Persian license plates in images and video streams. Leveraging advanced deep learning models and a user-friendly interface, it ensures reliable performance across different scenarios. The system offers advanced detection using YOLOv5 models, precise recognition of Persian characters, real-time processing capabilities, and a user-friendly GUI. It is well-suited for applications in traffic monitoring, automated vehicle identification, and similar fields. The system's architecture includes modules for resident management, entrance management, and a detailed flowchart explaining the process from system initialization to displaying results in the GUI. Hardware requirements include an Intel Core i5 processor, 8 GB RAM, a dedicated GPU with at least 4 GB VRAM, and an SSD with 20 GB of free space. The system can be installed by cloning the repository and installing required Python packages. Users can customize the video source for processing and run the application to upload and process images or video streams. The system's GUI allows for parameter adjustments to optimize performance, and the Wiki provides in-depth information on the system's architecture and model training.

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.

DeepFlow is an open-source project that provides deep observability for complex cloud-native and AI applications. It offers Zero Code data collection with eBPF for metrics, distributed tracing, request logs, and function profiling. DeepFlow is integrated with SmartEncoding to achieve Full Stack correlation and efficient access to all observability data. With DeepFlow, cloud-native and AI applications automatically gain deep observability, removing the burden of developers continually instrumenting code and providing monitoring and diagnostic capabilities covering everything from code to infrastructure for DevOps/SRE teams.

Provides key dates and insights about the mobile industry worldwide.

Expert in autism development, offering guidance on milestones and support strategies.

An AI tool designed to assist with parenting newborns, offering guidance on feeding, sleep, development, and health.

Advises on project management in the style of a famous PM.

Expert baby care guidance for new parents.

This AI assistant is not just a chatbot; it's a virtual consultant, combining deep knowledge in IT product management with insights in user experience (UX) and product development.,

My goal is to produce content that highlights significant historical events, technological advancements, and the anniversaries of notable figures in science and technology.