Best AI tools for< Fit Garments >
20 - AI tool Sites
Huhu AI
Huhu AI is a cutting-edge AI Fashion Technology application that transforms garment photos into stunning fashion models with unmatched precision and flexibility. Users can upload a single garment photo and see their design perfectly fitted on a model of their choice within moments. The AI ensures every detail, from stitches to patterns, is faithfully reproduced on the model. It caters to all body types, from kids to oversized models, and handles various types of garment photos seamlessly. With front and back view support, users can showcase their garments comprehensively. Huhu AI offers infinite possibilities for showcasing garments on different body types and poses, leading to increased sales conversion, cost savings, and time efficiency in the fashion industry.
Refabric
Refabric is an AI-powered fashion design assistant that helps users create designs with generative AI. It offers a range of features to help users create innovative and stylish designs, including AI-generated design ideas, fabric recommendations, and trend forecasting.
Fit AI
Fit AI is a visual application that utilizes Generative AI to help users visualize their ideal body and stay motivated on their fitness journey. Users can upload a selfie to get inspired for free. The application is powered by Replicate, Upload, and Vercel, offering a seamless and user-friendly experience for fitness enthusiasts.
sample.fit
sample.fit is an AI tool designed to revolutionize the audio exploration experience for indie music enthusiasts and producers. By leveraging cutting-edge machine learning technology, the platform processes and analyzes audio samples to create dynamic views for intuitive navigation through sample collections. The service offers a seamless and interactive platform for exploring and playback audio samples, enhancing creativity and sound production.
Find My Size
The website 'Find My Size' offers personalized size recommendations for exclusive deals at hundreds of top retailers. Users can find the perfect fit and the best deals across various categories like active & sportswear, young contemporary, business & workwear, lingerie & sleepwear, outerwear, maternity wear, plus size apparel, swimwear, and more. The platform aims to enhance the shopping experience by providing tailored size suggestions for users to make informed purchasing decisions.
GymGenie
GymGenie is an AI-powered fitness app that provides personalized workout routines and meal plans tailored to your fitness goals. With GymGenie, you can get a new workout routine in seconds, and track your progress over time. GymGenie is trusted by people across the world, and has helped people in over 80 countries achieve their fitness goals.
Vibe Fitness Gaming
Vibe Fitness Gaming is a platform that combines fitness and gaming to provide an interactive and engaging workout experience. Users can enjoy a variety of virtual fitness activities while playing games, making exercise more fun and motivating. The platform offers a unique way to stay active and healthy by gamifying the workout process.
SnapMeasureAI
SnapMeasureAI is an AI-powered body measurement tool that provides 99% accurate body measurements without the need to visit a tailor. It uses advanced AI technology to measure the body from photos or videos, offering unparalleled precision and reliability. With features like unlimited body measurements, 3D avatar creation, and state-of-the-art AI models, SnapMeasureAI aims to help users find their perfect fit, reduce returns, and save costs. The tool is designed to accommodate any body type, skin tone, pose, or background, making it a versatile and efficient solution for accurate body measurements.
MyFit AI
MyFit AI is a revolutionary fitness app that uses artificial intelligence to help you achieve your fitness goals. With MyFit AI, you'll get personalized workouts, nutrition plans, and progress tracking, all tailored to your individual needs. Whether you're a beginner or a seasoned athlete, MyFit AI can help you take your fitness to the next level.
INOP
INOP is an impact-driven professional network that uses advanced AI matching algorithms to connect professionals with like-minded individuals, job opportunities, and companies that share their values and interests. The platform offers personalized job alerts, geolocation features, and actionable compensation insights. INOP goes beyond traditional networking platforms by providing rich enterprise-level insights on company culture, values, reputation, and ESG data sets. Users can access salary benchmarks, career path insights, and skills benchmarking to make informed career decisions.
Pivotly
Pivotly is an AI tool designed to assist users in finding product market fit. It provides personalized guidance and step-by-step actions to help users navigate the process of identifying the right market for their products or services. With Pivotly, users can streamline their market research efforts and make informed decisions to optimize their product-market fit.
DressMeUp
DressMeUp is an AI-powered virtual dressing room platform that allows users to virtually try on dresses from the comfort of their own home. The platform offers personalized recommendations based on body shape and size, providing a seamless shopping experience with endless options to explore. Users can browse through an extensive collection of dresses, visualize their perfect fit, and receive tailored suggestions. DressMeUp aims to revolutionize the way people shop for clothing by leveraging AI technology to enhance the online shopping experience.
The New York Times
The New York Times is an American daily newspaper based in New York City with worldwide news coverage. It has won 132 Pulitzer Prizes, more than any other newspaper, and has long been regarded as a national newspaper of record. The Times was founded in 1851 by Henry Jarvis Raymond and George Jones as a penny paper. It has been owned by the Ochs-Sulzberger family since 1896, with Arthur Ochs Sulzberger Jr. serving as publisher from 1963 to 1992 and his son, Arthur Gregg Sulzberger, serving as publisher since 1992.
Prelaunch
Prelaunch.com is a product validation platform that helps creators test market demand before launching a product. It provides tools for concept validation, price testing, audience insights, and positioning testing. The platform allows users to gather early customer feedback, co-create with the community, and build landing pages seamlessly. With AI market research assistance, analytics, and tracking, Prelaunch.com offers data-driven insights to improve product success rates.
OutfitIdeas
OutfitIdeas is an AI-powered styling tool that offers personalized haircut and outfit recommendations based on individual preferences. Users can upload a photo and answer a simple questionnaire to receive a free lookbook with haircut and outfit designs, face-fit visualizations, expert tips, and a shopping guide. The platform aims to serve as a personal image consultant, helping users save time, effort, and money while achieving their desired style.
Langame Conversation Starter
The website is a platform that provides conversation starter suggestions for users. It is designed to help individuals initiate conversations with others in a fun and engaging way. Users can access a variety of conversation prompts to spark discussions and connect with people. The platform aims to facilitate social interactions and break the ice in various settings, such as social gatherings, networking events, or casual meetups. With a user-friendly interface, the website offers a convenient solution for those seeking to improve their communication skills and engage in meaningful conversations.
SwiftCover
SwiftCover is an AI-powered cover letter tool that helps you create professional and tailored cover letters in minutes. With SwiftCover, you can easily generate a cover letter that highlights your skills and experience, and that is tailored to the specific job you are applying for. SwiftCover also provides you with feedback on your cover letter, so you can make sure it is as strong as possible.
Feedbuck AI
Feedbuck AI is an AI-powered user feedback collection tool that helps businesses collect feedback from their users quickly and easily. It uses AI to automatically generate feedback questions based on your website and objectives, and it provides straightforward summaries with clear results. Feedbuck AI is easy to use and integrates with a variety of platforms, making it a great choice for businesses of all sizes.
Gen AI Interviewer
Gen AI Interviewer is an AI-powered tool designed to conduct interviews. It utilizes artificial intelligence to simulate real interview scenarios and evaluate candidates' responses. By leveraging advanced algorithms, it provides valuable insights to recruiters and hiring managers, helping them make informed decisions in the hiring process. With Gen AI Interviewer, users can streamline their interview process, save time, and improve the overall efficiency of candidate evaluation.
AI Secrets
AI Secrets is a platform that provides insights and news about artificial intelligence technology, with a focus on AI applications, deals, and professionals. The platform covers a wide range of topics related to AI, including the latest advancements in AI tools and their impact on various industries. Through expert analysis and news updates, AI Secrets aims to educate tech decision-makers and enthusiasts about the evolving landscape of AI technology.
20 - Open Source AI Tools
Awesome-Segment-Anything
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.
qlora-pipe
qlora-pipe is a pipeline parallel training script designed for efficiently training large language models that cannot fit on one GPU. It supports QLoRA, LoRA, and full fine-tuning, with efficient model loading and the ability to load any dataset that Axolotl can handle. The script allows for raw text training, resuming training from a checkpoint, logging metrics to Tensorboard, specifying a separate evaluation dataset, training on multiple datasets simultaneously, and supports various models like Llama, Mistral, Mixtral, Qwen-1.5, and Cohere (Command R). It handles pipeline- and data-parallelism using Deepspeed, enabling users to set the number of GPUs, pipeline stages, and gradient accumulation steps for optimal utilization.
kaito
Kaito is an operator that automates the AI/ML inference model deployment in a Kubernetes cluster. It manages large model files using container images, avoids tuning deployment parameters to fit GPU hardware by providing preset configurations, auto-provisions GPU nodes based on model requirements, and hosts large model images in the public Microsoft Container Registry (MCR) if the license allows. Using Kaito, the workflow of onboarding large AI inference models in Kubernetes is largely simplified.
chatbot-ui
Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.
amica
Amica is an application that allows you to easily converse with 3D characters in your browser. You can import VRM files, adjust the voice to fit the character, and generate response text that includes emotional expressions.
fractl
Fractl is a programming language designed for generative AI, making it easier for developers to work with AI-generated code. It features a data-oriented and declarative syntax, making it a better fit for generative AI-powered code generation. Fractl also bridges the gap between traditional programming and visual building, allowing developers to use multiple ways of building, including traditional coding, visual development, and code generation with generative AI. Key concepts in Fractl include a graph-based hierarchical data model, zero-trust programming, declarative dataflow, resolvers, interceptors, and entity-graph-database mapping.
awesome-open-data-annotation
At ZenML, we believe in the importance of annotation and labeling workflows in the machine learning lifecycle. This repository showcases a curated list of open-source data annotation and labeling tools that are actively maintained and fit for purpose. The tools cover various domains such as multi-modal, text, images, audio, video, time series, and other data types. Users can contribute to the list and discover tools for tasks like named entity recognition, data annotation for machine learning, image and video annotation, text classification, sequence labeling, object detection, and more. The repository aims to help users enhance their data-centric workflows by leveraging these tools.
VectorHub
VectorHub is a free and open-sourced learning hub for people interested in adding vector retrieval to their ML stack. On VectorHub you will find practical resources to help you create MVPs with easy-to-follow learning materials, solve use case specific challenges in vector retrieval, get confident in taking their MVPs to production and making them actually useful, and learn about vendors in the space and select the ones that fit their use-case.
craftgen
Craftgen.ai is an innovative AI platform designed for both technical and non-technical users. It's built on a foundation of graph architecture for scalability and the Actor Model for efficient concurrent operations, tailored to both technical and non-technical users. A key aspect of Craftgen.ai is its modular AI approach, allowing users to assemble and customize AI components like building blocks to fit their specific needs. The platform's robustness is enhanced by its event-driven architecture, ensuring reliable data processing and featuring browser web technologies for universal access. Craftgen.ai excels in dynamic tool and workflow generation, with strong offline capabilities for secure environments and plans for desktop application integration. A unique and valuable feature of Craftgen.ai is its marketplace, where users can access a variety of pre-built AI solutions. This marketplace accelerates the deployment of AI tools but also fosters a community of sharing and innovation. Users can contribute to and leverage this repository of solutions, enhancing the platform's versatility and practicality. Craftgen.ai uses JSON schema for industry-standard alignment, enabling seamless integration with any API following the OpenAPI spec. This allows for a broad range of applications, from automating data analysis to streamlining content management. The platform is designed to bridge the gap between advanced AI technology and practical usability. It's a flexible, secure, and intuitive platform that empowers users, from developers seeking to create custom AI solutions to businesses looking to automate routine tasks. Craftgen.ai's goal is to make AI technology an integral, seamless part of everyday problem-solving and innovation, providing a platform where modular AI and a thriving marketplace converge to meet the diverse needs of its users.
krita-ai-diffusion
Krita-AI-Diffusion is a plugin for Krita that allows users to generate images from within the program. It offers a variety of features, including inpainting, outpainting, generating images from scratch, refining existing content, live painting, and control over image creation. The plugin is designed to fit into an interactive workflow where AI generation is used as just another tool while painting. It is meant to synergize with traditional tools and the layer stack.
imodelsX
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
PIXIU
PIXIU is a project designed to support the development, fine-tuning, and evaluation of Large Language Models (LLMs) in the financial domain. It includes components like FinBen, a Financial Language Understanding and Prediction Evaluation Benchmark, FIT, a Financial Instruction Dataset, and FinMA, a Financial Large Language Model. The project provides open resources, multi-task and multi-modal financial data, and diverse financial tasks for training and evaluation. It aims to encourage open research and transparency in the financial NLP field.
cake
cake is a pure Rust implementation of the llama3 LLM distributed inference based on Candle. The project aims to enable running large models on consumer hardware clusters of iOS, macOS, Linux, and Windows devices by sharding transformer blocks. It allows running inferences on models that wouldn't fit in a single device's GPU memory by batching contiguous transformer blocks on the same worker to minimize latency. The tool provides a way to optimize memory and disk space by splitting the model into smaller bundles for workers, ensuring they only have the necessary data. cake supports various OS, architectures, and accelerations, with different statuses for each configuration.
Streamline-Analyst
Streamline Analyst is a cutting-edge, open-source application powered by Large Language Models (LLMs) designed to revolutionize data analysis. This Data Analysis Agent effortlessly automates tasks such as data cleaning, preprocessing, and complex operations like identifying target objects, partitioning test sets, and selecting the best-fit models based on your data. With Streamline Analyst, results visualization and evaluation become seamless. It aims to expedite the data analysis process, making it accessible to all, regardless of their expertise in data analysis. The tool is built to empower users to process data and achieve high-quality visualizations with unparalleled efficiency, and to execute high-performance modeling with the best strategies. Future enhancements include Natural Language Processing (NLP), neural networks, and object detection utilizing YOLO, broadening its capabilities to meet diverse data analysis needs.
obsidian-companion
Companion is an Obsidian plugin that adds an AI-powered autocomplete feature to your note-taking and personal knowledge management platform. With Companion, you can write notes more quickly and easily by receiving suggestions for completing words, phrases, and even entire sentences based on the context of your writing. The autocomplete feature uses OpenAI's state-of-the-art GPT-3 and GPT-3.5, including ChatGPT, and locally hosted Ollama models, among others, to generate smart suggestions that are tailored to your specific writing style and preferences. Support for more models is planned, too.
LLM.swift
LLM.swift is a simple and readable library that allows you to interact with large language models locally with ease for macOS, iOS, watchOS, tvOS, and visionOS. It's a lightweight abstraction layer over `llama.cpp` package, so that it stays as performant as possible while is always up to date. Theoretically, any model that works on `llama.cpp` should work with this library as well. It's only a single file library, so you can copy, study and modify the code however you want.
call-center-ai
Call Center AI is an AI-powered call center solution that leverages Azure and OpenAI GPT. It is a proof of concept demonstrating the integration of Azure Communication Services, Azure Cognitive Services, and Azure OpenAI to build an automated call center solution. The project showcases features like accessing claims on a public website, customer conversation history, language change during conversation, bot interaction via phone number, multiple voice tones, lexicon understanding, todo list creation, customizable prompts, content filtering, GPT-4 Turbo for customer requests, specific data schema for claims, documentation database access, SMS report sending, conversation resumption, and more. The system architecture includes components like RAG AI Search, SMS gateway, call gateway, moderation, Cosmos DB, event broker, GPT-4 Turbo, Redis cache, translation service, and more. The tool can be deployed remotely using GitHub Actions and locally with prerequisites like Azure environment setup, configuration file creation, and resource hosting. Advanced usage includes custom training data with AI Search, prompt customization, language customization, moderation level customization, claim data schema customization, OpenAI compatible model usage for the LLM, and Twilio integration for SMS.
llm-vscode
llm-vscode is an extension designed for all things LLM, utilizing llm-ls as its backend. It offers features such as code completion with 'ghost-text' suggestions, the ability to choose models for code generation via HTTP requests, ensuring prompt size fits within the context window, and code attribution checks. Users can configure the backend, suggestion behavior, keybindings, llm-ls settings, and tokenization options. Additionally, the extension supports testing models like Code Llama 13B, Phind/Phind-CodeLlama-34B-v2, and WizardLM/WizardCoder-Python-34B-V1.0. Development involves cloning llm-ls, building it, and setting up the llm-vscode extension for use.
llm.nvim
llm.nvim is a plugin for Neovim that enables code completion using LLM models. It supports 'ghost-text' code completion similar to Copilot and allows users to choose their model for code generation via HTTP requests. The plugin interfaces with multiple backends like Hugging Face, Ollama, Open AI, and TGI, providing flexibility in model selection and configuration. Users can customize the behavior of suggestions, tokenization, and model parameters to enhance their coding experience. llm.nvim also includes commands for toggling auto-suggestions and manually requesting suggestions, making it a versatile tool for developers using Neovim.
call-center-ai
Call Center AI is an AI-powered call center solution leveraging Azure and OpenAI GPT. It allows for AI agent-initiated phone calls or direct calls to the bot from a configured phone number. The bot is customizable for various industries like insurance, IT support, and customer service, with features such as accessing claim information, conversation history, language change, SMS sending, and more. The project is a proof of concept showcasing the integration of Azure Communication Services, Azure Cognitive Services, and Azure OpenAI for an automated call center solution.
20 - OpenAI Gpts
Fit Manager Pro
Expert in sports and fitness management, aiding in activity planning and data analysis.
Fit Coach
Health and fitness coach, expert in exercise physiology and nutrition, offering tailored advice.
Fit Pete
Why did the scarecrow become a gym coach? Because he was outstanding in his field... of fitness!
Co-founder Fit
This GPT follows 10 questions from Y Combinator for co-founders to discuss before deciding to work together. Co-founders answer the questions separately and receive unique IDs. To check compatibility, provide two IDs. Co-founder GPT has a long-term memory, so write down your ID for future checks.
Ask AI: Top 2023 Tax Saving Tips
Whether business or personal, this GPT assists in providing custom-fit tax saving tips for tax year 2023. The goal is provide insights to help you minimize tax. How can I help?
Social Anxiety-Avoidant Personality Disorder Test
Find out if your symptoms fit Social Anxiety Disorder or Avoidant Personality Disorder.
TonyAIDeveloperResume
Chat with my resume to see if I am a good fit for your AI related job.
SBA Loan Advisor
Using public SBA data to help you find the best fit lender for your small business
Let's Learn
A multilingual equity classroom bridging educational gaps by translating and adapting school tasks to fit every family's native language, language level, and cultural background. (Experimental Beta version)
Corporate Trainer
Develops training programs, customizing content to fit corporate culture and objectives.
Startup Advisor
Startup advisor guiding founders through detailed idea evaluation, product-market-fit, business model, GTM, and scaling.
ChadGPT
Your personal physical trainer. Ask ChadGPT anything related to fitness, lifting, workouts, the gym, cross-fit, calisthenics, muscle growth, nutrition, etc.