Best AI tools for< Fit Probability Distributions >

Fit AI is an AI-powered application that allows users to visualize their dream body using Generative AI technology. Users can upload a selfie and get inspired to stay on their fitness journey. The application is 100% free and powered by Replicate, Upload, and Vercel.

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 is a web application that provides personalized size recommendations for exclusive deals at hundreds of top retailers. Users can input their measurements and preferences to receive tailored suggestions for clothing items that will fit them perfectly. The platform aims to enhance the online shopping experience by helping customers find the right size and style without the need for multiple returns. Find My Size collaborates with various retailers to offer a wide range of products across different categories, including active & sportswear, young contemporary, business & workwear, lingerie & sleepwear, outerwear, maternity wear, plus size apparel, and swimwear.

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.

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 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.

SnapMeasureAI is an AI-powered application that provides 99% accurate body measurements without the need to visit a tailor. It uses advanced AI technology to accurately measure the body from just a few photos or a short video, with an average error of 0.70 cm (0.27 in). SnapMeasureAI is designed to help users find their perfect fit quickly and easily, reducing the need for multiple tailor visits and minimizing the hassle of clothing returns. The application is trained on over 100 million body combinations, 400,000 backgrounds, and 90,000 poses, ensuring reliable performance in diverse scenarios. SnapMeasureAI aims to address the significant problem of annual retail returns by offering precise measurements and helping users make confident shopping decisions.

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 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 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.com is an AI-powered platform that provides bullet-proof insights from ready-to-buy customers. It offers a range of services including concept testing, price testing, branding and marketing testing, business model testing, and more. The platform helps businesses validate their ideas, understand market competitors, and gather customer insights through surveys, interviews, and focus groups. With features like performance dashboard, AI idea validation, and AI market research, Prelaunch.com empowers users to make informed decisions and launch iconic products with confidence.

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.

The website is a platform that provides conversation starter suggestions for users. It offers ideas to initiate conversations and break the ice in various social settings. Users can access these suggestions to engage in meaningful interactions with others. The platform aims to facilitate communication and foster connections among individuals through its curated conversation prompts.

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 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 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 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.

Careerdekho AI is an AI-powered career guidance tool that helps users discover their ideal career path. The tool uses a variety of data points, including the user's interests, skills, and personality, to generate a personalized list of career recommendations. Careerdekho AI also provides users with information on each career, including the required education and training, salary expectations, and job outlook. The tool is free to use and can be accessed online or through the Careerdekho mobile app.

Career Genie is an AI-powered career manager application that provides personalized guidance, learning resources, and mentorship to individuals at different career stages. It offers tailored career pathways, upskilling opportunities, job matching, and networking features to help users navigate their career journey effectively. With 24/7 AI career advisor support, users can access expert advice, prepare for interviews, and connect with industry professionals to enhance their career prospects.

SolidGrids is an AI-powered image enhancement tool designed specifically for e-commerce businesses. It automates the image post-production process, saving time and resources. With SolidGrids, you can easily remove backgrounds, enhance product images, and create consistent branding across your e-commerce site. The platform offers seamless cloud integrations and is cost-effective compared to traditional methods.

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

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

The `mystic` framework provides a collection of optimization algorithms and tools that allow the user to robustly solve hard optimization problems. It offers fine-grained power to monitor and steer optimizations during the fit processes. Optimizers can advance one iteration or run to completion, with customizable stop conditions. `mystic` optimizers share a common interface for easy swapping without writing new code. The framework supports parameter constraints, including soft and hard constraints, and provides tools for scientific machine learning, uncertainty quantification, adaptive sampling, nonlinear interpolation, and artificial intelligence. `mystic` is actively developed and welcomes user feedback and contributions.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

Recommenders is a project under the Linux Foundation of AI and Data that assists researchers, developers, and enthusiasts in prototyping, experimenting with, and bringing to production a range of classic and state-of-the-art recommendation systems. The repository contains examples and best practices for building recommendation systems, provided as Jupyter notebooks. It covers tasks such as preparing data, building models using various recommendation algorithms, evaluating algorithms, tuning hyperparameters, and operationalizing models in a production environment on Azure. The project provides utilities to support common tasks like loading datasets, evaluating model outputs, and splitting training/test data. It includes implementations of state-of-the-art algorithms for self-study and customization in applications.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

llamafile is a tool that enables users to distribute and run Large Language Models (LLMs) with a single file. It combines llama.cpp with Cosmopolitan Libc to create a framework that simplifies the complexity of LLMs into a single-file executable called a 'llamafile'. Users can run these executable files locally on most computers without the need for installation, making open LLMs more accessible to developers and end users. llamafile also provides example llamafiles for various LLM models, allowing users to try out different LLMs locally. The tool supports multiple CPU microarchitectures, CPU architectures, and operating systems, making it versatile and easy to use.

Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. It is designed to be easy to get started with and simple to use for Java developers. DJL provides a native Java development experience and allows users to integrate machine learning and deep learning models with their Java applications. The framework is deep learning engine agnostic, enabling users to switch engines at any point for optimal performance. DJL's ergonomic API interface guides users with best practices to accomplish deep learning tasks, such as running inference and training neural networks.

FastFit is a Python package designed for fast and accurate few-shot classification, especially for scenarios with many semantically similar classes. It utilizes a novel approach integrating batch contrastive learning and token-level similarity score, significantly improving multi-class classification performance in speed and accuracy across various datasets. FastFit provides a convenient command-line tool for training text classification models with customizable parameters. It offers a 3-20x improvement in training speed, completing training in just a few seconds. Users can also train models with Python scripts and perform inference using pretrained models for text classification tasks.

Sports-betting is a Python library for implementing betting strategies and analyzing sports data. It provides tools for collecting, processing, and visualizing sports data to make informed betting decisions. The library includes modules for scraping data from sports websites, calculating odds, simulating betting strategies, and evaluating performance. With sports-betting, users can automate betting processes, test different strategies, and improve their betting outcomes.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

RWKV is an RNN with Transformer-level LLM performance, which can also be directly trained like a GPT transformer (parallelizable). And it's 100% attention-free. You only need the hidden state at position t to compute the state at position t+1. You can use the "GPT" mode to quickly compute the hidden state for the "RNN" mode. So it's combining the best of RNN and transformer - **great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding** (using the final hidden state).

Helper in Probability Theory, with inequalities focus and calculation support.

Your cheeky guide to fitness fun!

Your Style, Your Size

Expert in sports and fitness management, aiding in activity planning and data analysis.

Health and fitness coach, expert in exercise physiology and nutrition, offering tailored advice.

Why did the scarecrow become a gym coach? Because he was outstanding in his field... of fitness!

Personalized workouts and exercrises so you can become your best!

Top Fitness AI: Personalized, Progressive Workout & Wellness Guide

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.

I'm your job search ally, tailoring resumes to fit roles!

Creating detailed prompts to fit the persona / role that you require.

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?

Find trails that fit your nature for your next hike, ride, or run.

Find out if your symptoms fit Social Anxiety Disorder or Avoidant Personality Disorder.

Chat with my resume to see if I am a good fit for your AI related job.

Using public SBA data to help you find the best fit lender for your small business

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)

Develops training programs, customizing content to fit corporate culture and objectives.

Startup advisor guiding founders through detailed idea evaluation, product-market-fit, business model, GTM, and scaling.

I propose actors for book characters, focusing on popularity and fit.