AI tools for mochi
Related Tools:
MachineTranslation.com
MachineTranslation.com is an online platform that provides machine translation services to make translation accessible and reliable for everyone. The platform leverages the latest advances in AI and machine learning to offer accurate and efficient translations. The team behind MachineTranslation.com consists of experienced linguists, researchers, and engineers who have developed a solution to empower people to communicate more effectively.
maching.ai
maching.ai is an AI-powered job matching platform that leverages artificial intelligence to match job seekers with suitable job opportunities. The platform utilizes advanced algorithms to analyze user profiles and job requirements, providing personalized job recommendations. Users can interact with the AI through chat for job field recommendations, or manually select preferences. maching.ai aims to streamline the job search process by offering a seamless and efficient matching experience.
Machined.ai
Machined.ai is an AI-powered platform that automates the creation of content clusters for SEO optimization. It generates a large number of informational articles on any topic, structured and interlinked to boost search engine rankings. The platform fully automates keyword research, clustering, content writing, and interlinking processes. With advanced AI models, Machined.ai produces high-quality, human-like content in over 120 languages. It offers features like automated SEO, keyword research, clustering, internal linking, topical research, references, citations, external linking, and direct publishing to WordPress and Webflow. Machined.ai is cost-effective, scalable, and designed for startups, niche site owners, and programmatic site builders.
Mockitt
Mockitt is an all-in-one online design, prototyping, and collaboration platform that empowers UI/UX designers to create interactive and animated prototypes, flowcharts, and mind maps. With its AI-powered features, such as AI Prototype Generator, AI Component Generator, and Magic Fill, Mockitt helps designers significantly elevate their efficiency and unlock new possibilities. Mockitt also offers a wide range of built-in templates, components, and resources, making it easy for anyone to bring their ideas to life. Additionally, Mockitt's real-time collaboration features enable designers to share, edit, and comment on projects simultaneously, ensuring everyone is on the same page.
Machina Labs
Machina Labs is an innovative AI and robotics company revolutionizing the manufacturing industry by combining cutting-edge technology to create the next generation of factories. Their capabilities enable rapid iteration and production, significantly reducing lead times and material waste. With a team of industry experts, Machina Labs is at the forefront of agile and advanced manufacturing solutions.
Moshi AI
Moshi AI by Kyutai is an advanced native speech AI model that enables natural, expressive conversations. It can be installed locally and run offline, making it suitable for integration into smart home appliances and other local applications. The model, named Helium, has 7 billion parameters and is trained on text and audio codecs. Moshi AI supports native speech input and output, allowing for smooth communication with the AI. The application is community-supported, with plans for continuous improvement and adaptation.
Moshi AI
Moshi AI is a new voice assistant with advanced vocal capabilities that simulate human-like conversations. It can be used as a personal coach or companion, providing guidance and support in various scenarios. Moshi AI offers real-time voice interaction, efficient multimodal processing, and enhanced privacy and security features. The application is designed to enhance business operations, improve customer interactions, and streamline decision-making processes.
MachineHack
MachineHack is an AI platform that empowers AI developers by providing resources and knowledge for real-world ML projects through hackathons, community learning, and assessments. It hosts AI hackathons, offers practice opportunities, and features AI courses, blogs, and tools. The platform encourages innovation and skill development in the AI field.
MachineCon 2024
MachineCon 2024 is an exclusive gathering of analytics and artificial intelligence leaders, organized by AIM Research. The conference focuses on exploring cutting-edge AI technologies and innovative analytics solutions that are shaping the future of various industries. It provides a platform for top analytics leaders to learn, network, and do business, emphasizing the transformative potential of data and AI in driving competitive advantage and business transformation.
Machinet
Machinet is an AI Agent designed for full-stack software developers. It serves as an AI-based IDE that assists developers in various tasks, such as code generation, terminal access, front-end debugging, architecture suggestions, refactoring, and mentoring. The tool aims to enhance productivity and streamline the development workflow by providing intelligent assistance and support throughout the coding process. Machinet prioritizes security and privacy, ensuring that user data is encrypted, secure, and never stored for training purposes.
Lobe
Lobe is a free and easy-to-use machine learning tool for Mac and PC that helps users train machine learning models and deploy them to any platform of their choice. It provides a user-friendly interface for creating and managing machine learning projects, making it accessible to both beginners and experienced users.
Raman Labs
Raman Labs is an AI tool that offers dedicated modules for computer vision-based tasks, allowing users to integrate machine learning functionality into their existing applications with just 2 lines of code. The tool provides real-time performance, simplicity, robustness to large scale and resolution variations, versatility, and adaptability to different computing power levels. It supports various platforms, hardware, and language integrations, with more coming soon. Raman Labs prioritizes user privacy by storing only email and hashed passwords, and all payment-related information is handled by a PCI DSS compliant service. The tool is licensed for personal use and can be run on multiple personal devices.
Jungle AI
Jungle AI is an AI application that provides solutions to improve machine performance and uptime in industries such as wind, solar, manufacturing, and maritime. Their AI solutions offer real-time insights into assets' performance, increase production, prevent downtime, and simplify operations. With features like Canopy and Toucan, Jungle AI helps users prioritize issues, detect abnormal behaviors, and avoid costly downtime. The application is trusted by global teams and has been battle-tested on challenging datasets. Jungle AI's customers benefit from proactive capabilities, context-sensitive alarms, and industry-specific solutions.
Baseten
Baseten is a machine learning infrastructure that provides a unified platform for data scientists and engineers to build, train, and deploy machine learning models. It offers a range of features to simplify the ML lifecycle, including data preparation, model training, and deployment. Baseten also provides a marketplace of pre-built models and components that can be used to accelerate the development of ML applications.
LAION
LAION is a non-profit organization that provides datasets, tools, and models to advance machine learning research. The organization's goal is to promote open public education and encourage the reuse of existing datasets and models to reduce the environmental impact of machine learning research.
Teachable Machine
Teachable Machine is a web-based tool that makes it easy to create custom machine learning models, even if you don't have any coding experience. With Teachable Machine, you can train models to recognize images, sounds, and poses. Once you've trained a model, you can export it to use in your own projects.
Liner.ai
Liner is a free and easy-to-use tool that allows users to train machine learning models without writing any code. It provides a user-friendly interface that guides users through the process of importing data, selecting a model, and training the model. Liner also offers a variety of pre-trained models that can be used for common tasks such as image classification, text classification, and object detection. With Liner, users can quickly and easily create and deploy machine learning applications without the need for specialized knowledge or expertise.
Spartan Scholar
An expert on Michigan State, offering detailed information on Michigan State history and sports.
Mockito Mentor
Java testing consultant specializing in Mockito, based on the book Mockito Made Clear and related blog posts by Ken Kousen.
Michigan No-Fault Law Guide
Advanced guide on Michigan no-fault law, with updated legal data.
AI Engineering
AI engineering expert offering insights into machine learning and AI development.
MochaJS Expert in JavaScript unit testing
Assistant polyglotte pour tests unitaires avec MochaJS
CNC Master
All things CNC to be learned, calculated and considered here. Lots of model training for typical consumer and pro-sumer CNC machining technology!
Cell Tuber, Machine Assistant
Hello I'm Cell Tuber, Machine Assistant! What would you like help with today?
Fringing-Machine Operator Assistant
Hello I'm Fringing-Machine Operator Assistant! What would you like help with today?
ai-game-development-tools
Here we will keep track of the AI Game Development Tools, including LLM, Agent, Code, Writer, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥 * Tool (AI LLM) * Game (Agent) * Code * Framework * Writer * Image * Texture * Shader * 3D Model * Avatar * Animation * Video * Audio * Music * Singing Voice * Speech * Analytics * Video Tool
Stable-Diffusion
Stable Diffusion is a text-to-image AI model that can generate realistic images from a given text prompt. It is a powerful tool that can be used for a variety of creative and practical applications, such as generating concept art, creating illustrations, and designing products. Stable Diffusion is also a great tool for learning about AI and machine learning. This repository contains a collection of tutorials and resources on how to use Stable Diffusion.
llms-tools
The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.
VideoTuna
VideoTuna is a codebase for text-to-video applications that integrates multiple AI video generation models for text-to-video, image-to-video, and text-to-image generation. It provides comprehensive pipelines in video generation, including pre-training, continuous training, post-training, and fine-tuning. The models in VideoTuna include U-Net and DiT architectures for visual generation tasks, with upcoming releases of a new 3D video VAE and a controllable facial video generation model.
gpt-subtrans
GPT-Subtrans is an open-source subtitle translator that utilizes large language models (LLMs) as translation services. It supports translation between any language pairs that the language model supports. Note that GPT-Subtrans requires an active internet connection, as subtitles are sent to the provider's servers for translation, and their privacy policy applies.
NBA-Machine-Learning-Sports-Betting
This tool is a machine learning AI used to predict the winners and under/overs of NBA games. It takes all team data from the 2007-08 season to the current season, matched with odds of those games, and uses a neural network to predict winning bets for today's games. The tool achieves ~69% accuracy on money lines and ~55% on under/overs. It outputs expected value for teams' money lines to provide better insight and the fraction of your bankroll to bet based on the Kelly Criterion. A popular, less risky approach is to bet 50% of the stake recommended by the Kelly Criterion.
machine-learning
Ocademy is an AI learning community dedicated to Python, Data Science, Machine Learning, Deep Learning, and MLOps. They promote equal opportunities for everyone to access AI through open-source educational resources. The repository contains curated AI courses, tutorials, books, tools, and resources for learning and creating Generative AI. It also offers an interactive book to help adults transition into AI. Contributors are welcome to join and contribute to the community by following guidelines. The project follows a code of conduct to ensure inclusivity and welcomes contributions from those passionate about Data Science and AI.
start-machine-learning
Start Machine Learning in 2024 is a comprehensive guide for beginners to advance in machine learning and artificial intelligence without any prior background. The guide covers various resources such as free online courses, articles, books, and practical tips to become an expert in the field. It emphasizes self-paced learning and provides recommendations for learning paths, including videos, podcasts, and online communities. The guide also includes information on building language models and applications, practicing through Kaggle competitions, and staying updated with the latest news and developments in AI. The goal is to empower individuals with the knowledge and resources to excel in machine learning and AI.
aws-machine-learning-university-responsible-ai
This repository contains slides, notebooks, and data for the Machine Learning University (MLU) Responsible AI class. The mission is to make Machine Learning accessible to everyone, covering widely used ML techniques and applying them to real-world problems. The class includes lectures, final projects, and interactive visuals to help users learn about Responsible AI and core ML concepts.
machine-learning-research
The 'machine-learning-research' repository is a comprehensive collection of resources related to mathematics, machine learning, deep learning, artificial intelligence, data science, and various scientific fields. It includes materials such as courses, tutorials, books, podcasts, communities, online courses, papers, and dissertations. The repository covers topics ranging from fundamental math skills to advanced machine learning concepts, with a focus on applications in healthcare, genetics, computational biology, precision health, and AI in science. It serves as a valuable resource for individuals interested in learning and researching in the fields of machine learning and related disciplines.
MockingBird
MockingBird is a toolbox designed for Mandarin speech synthesis using PyTorch. It supports multiple datasets such as aidatatang_200zh, magicdata, aishell3, and data_aishell. The toolbox can run on Windows, Linux, and M1 MacOS, providing easy and effective speech synthesis with pretrained encoder/vocoder models. It is webserver ready for remote calling. Users can train their own models or use existing ones for the encoder, synthesizer, and vocoder. The toolbox offers a demo video and detailed setup instructions for installation and model training.
Introduction_to_Machine_Learning
This repository contains course materials for the 'Introduction to Machine Learning' course at Sharif University of Technology. It includes slides, Jupyter notebooks, and exercises for the Fall 2024 semester. The content is continuously updated throughout the semester. Previous semester materials are also accessible. Visit www.SharifML.ir for class videos and additional information.
Quantus
Quantus is a toolkit designed for the evaluation of neural network explanations. It offers more than 30 metrics in 6 categories for eXplainable Artificial Intelligence (XAI) evaluation. The toolkit supports different data types (image, time-series, tabular, NLP) and models (PyTorch, TensorFlow). It provides built-in support for explanation methods like captum, tf-explain, and zennit. Quantus is under active development and aims to provide a comprehensive set of quantitative evaluation metrics for XAI methods.