Best AI tools for< Improve Breathing >

AITX - Artificial Intelligence Technology Solutions Inc. is a leading company at the forefront of the 4th Industrial Revolution, specializing in deploying Autonomous Intelligent Response (AIR™) technology. They design, engineer, manufacture, and maintain innovative AI-powered solutions for security and facility management, aiming to enhance security, safety, and efficiency in various sectors. AITX's subsidiaries develop cutting-edge robotics and AI technology to revolutionize workflow automation, security solutions, and more, offering cost-effective and advanced alternatives to traditional methods.

Twin Health is a digital health company that uses artificial intelligence (AI) to help people reverse and prevent chronic metabolic diseases, such as type 2 diabetes. The company's flagship product is the Whole Body Digital Twin™, a digital representation of a person's unique metabolism that delivers personalized guidance on nutrition, sleep, activity, and breathing. Twin Health's program combines the Whole Body Digital Twin™ with a dedicated care team that monitors sensor data, offers personalized recommendations, and supports users on their health journey.

Earkick is a free personal AI therapist chat bot designed to help users measure and improve their mental health in real time. The app offers AI-powered tracking of emotional health, real-time conversations with AI therapists, guided self-care sessions including meditation and breathing exercises, and daily insights tailored to the user's situation. Earkick prioritizes user privacy by not requiring registration or collecting personal data, ensuring that all data belongs solely to the user. Users can track their mood, add voice and video memos, set routines, learn breathing techniques, measure heart rate, and receive daily quotes for support.

Neomind is a self-hypnosis application designed to unlock success, health, and happiness by transforming limiting beliefs. It offers tailored self-hypnosis sessions that speak directly to the subconscious, helping users achieve personal goals and overcome obstacles in various areas of life. The application provides expertly crafted audio experiences, including deep relaxation induction, breathing exercises, and progressive muscle relaxation, along with unique affirmations and suggestions focused on building confidence, achieving goals, and visualizing a successful future. Users can also access bonus sessions for comprehensive personal growth in finances, health, and relationships.

Alexa Translations is an AI-powered translation service that combines the expertise of professional translators with cutting-edge AI technology to provide custom translation solutions for legal, financial, securities, and HR teams. The platform offers a blend of human intelligence and AI capabilities, ensuring unmatched quality and accuracy in translations. With a focus on industry-specific terminology and regulatory compliance, Alexa Translations caters to a wide range of clients, including banks, law firms, and other industry leaders.

Toby is an AI tool that offers live speech translation on any video call. Users can speak fluently in any language with two-way live translation, create personalized glossaries, and ensure accurate communication through spoken and heard transcripts. Toby works on all video call platforms by translating audio on the user's device. The application has received positive feedback from users across various professions, praising its usefulness and effectiveness in bridging language barriers.

DeepL Translate is an AI-powered translation tool that offers accurate and efficient translation services. Users can translate text in 33 languages and various file formats like PDF, Word, and PowerPoint. The tool also provides AI-powered editing capabilities and supports speech translation. DeepL Translate is popular for translating languages like Spanish, French, and Japanese to English. With DeepL Pro, users can access additional features like unlimited text translation, document editing, and faster translation speeds.

Teach Catalyst AI is an AI-powered teaching assistant designed to make teachers' work easier and more efficient. It offers a wide range of tools and templates to help teachers with tasks such as creating lesson plans, worksheets, quizzes, and student reports. Teach Catalyst AI also provides insights into teaching practices and helps teachers improve their classroom management skills. With Teach Catalyst AI, teachers can save time, reduce stress, and focus on what matters most: teaching.

My AskAI is an affordable Zendesk AI alternative that provides AI customer support solutions. It aims to help businesses enhance their customer support efficiency by deflecting up to 75% of customer support requests with AI technology. The tool is 5-10 times cheaper than Zendesk's AI features, offering cost-effective AI resolution at only $0.10 per conversation. My AskAI seamlessly integrates with Zendesk's App Marketplace, allowing businesses to set up AI support agent quickly without the need for extensive training or system replacement. The tool also emphasizes the importance of human touch in customer support, enabling a smooth AI + Human customer support experience.

Had-a Call is an AI-powered call management platform that revolutionizes customer outreach by breaking down language barriers and building stronger relationships with customers worldwide. It offers multi-language call center software, real-time call performance analytics, and scalable solutions for data-driven customer engagement. With Had-a Call, businesses can effortlessly scale their call center operations and make data-driven decisions to drive customer engagement and improve performance.

CraveCoach.AI is an AI-powered coaching platform designed to help individuals overcome porn addiction. The platform offers a 90-day program led by an AI coach named Coach Chad, who assists users in breaking harmful habits, boosting confidence, and improving relationships. Through personalized trigger analysis, practical trigger management checklists, empathetic relapse support, daily motivational reminders, and progress streak tracking, CraveCoach.AI aims to support users in their journey towards a healthier, addiction-free lifestyle. The platform emphasizes privacy, structured support processes, and tailored guidance for each user's pace and needs.

Codacy is an AI-powered code quality and security platform designed for developers to efficiently optimize and secure their code. It offers a unified set of AppSec tools, data-driven insights, and seamless integrations across the software development lifecycle. Codacy helps teams monitor and resolve security issues at scale, improve code quality, and prevent breaking changes. With AI suggested fixes and effortless code quality monitoring, Codacy is a valuable tool for businesses and developers alike.

StudyWithGpt.com is a GPT-powered full-stack learning hub that provides personalized AI tutorials for various tech stacks including Java, PHP, Golang, Python, front-end, back-end, DevOps, and microservices. The AI Full-Stack Mentor offers tailored tutorials based on the user's learning objectives, breaking down knowledge points and providing 24/7 assistance. Users can ask questions, receive tutorial outlines, and get help with tough problems from the AI tutor.

ARC Prize is a platform hosting a $1,000,000+ public competition aimed at beating and open-sourcing a solution to the ARC-AGI benchmark. The platform is dedicated to advancing open artificial general intelligence (AGI) for the public benefit. It provides a formal benchmark, ARC-AGI, created by François Chollet, to measure progress towards AGI by testing the ability to efficiently acquire new skills and solve open-ended problems. ARC Prize encourages participants to try solving test puzzles to identify patterns and improve their AGI skills.

6000 thoughts is a personal coach for your thoughts, designed to help you create clarity of thought, identify thinking traps, and achieve peace of mind. The app allows users to express their thoughts through talking rather than writing, providing a platform for self-reflection and self-awareness. With a focus on breaking patterns, achieving breakthroughs, and building a mental toolkit, 6000 thoughts aims to help users improve their mental well-being and live more intentionally. The app prioritizes privacy and data security, ensuring a safe space for users to share their thoughts and stories.

QOVES is a website that provides tools and advice to help people improve their looks. The website offers a variety of services, including facial analysis, hairline design, style advice, and Photoshop retouching. QOVES also has a blog with articles on a variety of topics related to beauty and aesthetics.

ELSA Speech Analyzer is an AI-powered conversational English fluency coach that provides instant, personalized feedback on speech. It helps users improve pronunciation, intonation, grammar, and vocabulary through real-time analysis. The tool is designed for individuals, professionals, students, and organizations to enhance English speaking skills and communication abilities.

FCK.School is an online platform that provides AI-powered writing tools to help students with various aspects of their academic work, including creating outlines, generating essay conclusions, crafting thesis statements, and much more. It offers a range of tools such as paraphrasing, text generation, summarizing, grammar and punctuation correction, title generation, thesis statement generation, outline generation, intro generation, paragraph generation, and conclusion generation. FCK.School aims to improve writing skills, save time and effort, and enhance the quality of written content.

Zevi is an AI-powered site search and discovery platform that helps businesses improve their website search and chat experience. It offers a range of features including neural search, chat assistant, merchandising, and analytics. Zevi's AI-driven technology helps businesses understand their customers' queries and provide them with the most relevant results. It also helps businesses create a more personalized and conversational shopping experience for their customers.

Cyberday.ai is an AI-powered platform designed to help organizations improve and certify their cybersecurity. The platform offers a comprehensive set of tools and resources to guide users in implementing security tasks, creating policies, and generating compliance reports. With a focus on automation and efficiency, Cyberday.ai streamlines the process of managing information security, from risk assessment to employee training. By leveraging AI technology, Cyberday.ai aims to simplify the complex task of cybersecurity management for organizations of all sizes.

Taiyi (太一) is a bilingual large language model fine-tuned for diverse biomedical tasks. It aims to facilitate communication between healthcare professionals and patients, provide medical information, and assist in diagnosis, biomedical knowledge discovery, drug development, and personalized healthcare solutions. The model is based on the Qwen-7B-base model and has been fine-tuned using rich bilingual instruction data. It covers tasks such as question answering, biomedical dialogue, medical report generation, biomedical information extraction, machine translation, title generation, text classification, and text semantic similarity. The project also provides standardized data formats, model training details, model inference guidelines, and overall performance metrics across various BioNLP tasks.

OpenedAI Speech is a free, private text-to-speech server compatible with the OpenAI audio/speech API. It offers custom voice cloning and supports various models like tts-1 and tts-1-hd. Users can map their own piper voices and create custom cloned voices. The server provides multilingual support with XTTS voices and allows fixing incorrect sounds with regex. Recent changes include bug fixes, improved error handling, and updates for multilingual support. Installation can be done via Docker or manual setup, with usage instructions provided. Custom voices can be created using Piper or Coqui XTTS v2, with guidelines for preparing audio files. The tool is suitable for tasks like generating speech from text, creating custom voices, and multilingual text-to-speech applications.

Aphrodite is the official backend engine for PygmalionAI, serving as the inference endpoint for the website. It allows serving Hugging Face-compatible models with fast speeds. Features include continuous batching, efficient K/V management, optimized CUDA kernels, quantization support, distributed inference, and 8-bit KV Cache. The engine requires Linux OS and Python 3.8 to 3.12, with CUDA >= 11 for build requirements. It supports various GPUs, CPUs, TPUs, and Inferentia. Users can limit GPU memory utilization and access full commands via CLI.

Aphrodite is an inference engine optimized for serving HuggingFace-compatible models at scale. It leverages vLLM's Paged Attention technology to deliver high-performance model inference for multiple concurrent users. The engine supports continuous batching, efficient key/value management, optimized CUDA kernels, quantization support, distributed inference, and modern samplers. It can be easily installed and launched, with Docker support for deployment. Aphrodite requires Linux or Windows OS, Python 3.8 to 3.12, and CUDA >= 11. It is designed to utilize 90% of GPU VRAM but offers options to limit memory usage. Contributors are welcome to enhance the engine.

**RVC_CLI: Retrieval-based Voice Conversion Command Line Interface** This command-line interface (CLI) provides a comprehensive set of tools for voice conversion, enabling you to modify the pitch, timbre, and other characteristics of audio recordings. It leverages advanced machine learning models to achieve realistic and high-quality voice conversions. **Key Features:** * **Inference:** Convert the pitch and timbre of audio in real-time or process audio files in batch mode. * **TTS Inference:** Synthesize speech from text using a variety of voices and apply voice conversion techniques. * **Training:** Train custom voice conversion models to meet specific requirements. * **Model Management:** Extract, blend, and analyze models to fine-tune and optimize performance. * **Audio Analysis:** Inspect audio files to gain insights into their characteristics. * **API:** Integrate the CLI's functionality into your own applications or workflows. **Applications:** The RVC_CLI finds applications in various domains, including: * **Music Production:** Create unique vocal effects, harmonies, and backing vocals. * **Voiceovers:** Generate voiceovers with different accents, emotions, and styles. * **Audio Editing:** Enhance or modify audio recordings for podcasts, audiobooks, and other content. * **Research and Development:** Explore and advance the field of voice conversion technology. **For Jobs:** * Audio Engineer * Music Producer * Voiceover Artist * Audio Editor * Machine Learning Engineer **AI Keywords:** * Voice Conversion * Pitch Shifting * Timbre Modification * Machine Learning * Audio Processing **For Tasks:** * Convert Pitch * Change Timbre * Synthesize Speech * Train Model * Analyze Audio

RVC_CLI is a command line interface tool for retrieval-based voice conversion. It provides functionalities for installation, getting started, inference, training, UVR, additional features, and API integration. Users can perform tasks like single inference, batch inference, TTS inference, preprocess dataset, extract features, start training, generate index file, model extract, model information, model blender, launch TensorBoard, download models, audio analyzer, and prerequisites download. The tool is built on various projects like ContentVec, HIFIGAN, audio-slicer, python-audio-separator, RMVPE, FCPE, VITS, So-Vits-SVC, Harmonify, and others.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

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

This simple package can be used to fix an invalid json string. To know all cases in which this package will work, check out the unit test. Inspired by https://github.com/josdejong/jsonrepair Motivation Some LLMs are a bit iffy when it comes to returning well formed JSON data, sometimes they skip a parentheses and sometimes they add some words in it, because that's what an LLM does. Luckily, the mistakes LLMs make are simple enough to be fixed without destroying the content. I searched for a lightweight python package that was able to reliably fix this problem but couldn't find any. So I wrote one How to use from json_repair import repair_json good_json_string = repair_json(bad_json_string) # If the string was super broken this will return an empty string You can use this library to completely replace `json.loads()`: import json_repair decoded_object = json_repair.loads(json_string) or just import json_repair decoded_object = json_repair.repair_json(json_string, return_objects=True) Read json from a file or file descriptor JSON repair provides also a drop-in replacement for `json.load()`: import json_repair try: file_descriptor = open(fname, 'rb') except OSError: ... with file_descriptor: decoded_object = json_repair.load(file_descriptor) and another method to read from a file: import json_repair try: decoded_object = json_repair.from_file(json_file) except OSError: ... except IOError: ... Keep in mind that the library will not catch any IO-related exception and those will need to be managed by you Performance considerations If you find this library too slow because is using `json.loads()` you can skip that by passing `skip_json_loads=True` to `repair_json`. Like: from json_repair import repair_json good_json_string = repair_json(bad_json_string, skip_json_loads=True) I made a choice of not using any fast json library to avoid having any external dependency, so that anybody can use it regardless of their stack. Some rules of thumb to use: - Setting `return_objects=True` will always be faster because the parser returns an object already and it doesn't have serialize that object to JSON - `skip_json_loads` is faster only if you 100% know that the string is not a valid JSON - If you are having issues with escaping pass the string as **raw** string like: `r"string with escaping\"" Adding to requirements Please pin this library only on the major version! We use TDD and strict semantic versioning, there will be frequent updates and no breaking changes in minor and patch versions. To ensure that you only pin the major version of this library in your `requirements.txt`, specify the package name followed by the major version and a wildcard for minor and patch versions. For example: json_repair==0.* In this example, any version that starts with `0.` will be acceptable, allowing for updates on minor and patch versions. How it works This module will parse the JSON file following the BNF definition: ::= | ::= | | ; Where: ; is a valid real number expressed in one of a number of given formats ; is a string of valid characters enclosed in quotes ; is one of the literal strings 'true', 'false', or 'null' (unquoted) ::=