Best AI tools for< Find Match Dates >

ROAST is an AI-powered dating profile review service that helps users optimize their profiles to get more matches. The service uses data-driven insights and expert advice to provide personalized feedback on users' photos, bios, and overall profile strategy. ROAST also offers a quiz that helps users identify their dating goals and provides tailored advice based on their answers.

Keeper is an online matchmaking service powered by AI and relationship science. It aims to revolutionize the dating landscape by providing personalized and data-driven matches for individuals seeking long-term relationships. Unlike traditional dating apps, Keeper combines the efficiency of AI technology with the human touch of experienced matchmakers to deliver high-quality matches based on users' preferences and compatibility. By leveraging AI algorithms and expert vetting, Keeper strives to increase the success rate of first dates turning into committed relationships. The platform offers a comprehensive onboarding process, in-depth profile analysis, and continuous support to ensure users find their perfect match with confidence and clarity.

Rizz Check is a swipe game where users can befriend AI celebrities and ask them on dates. The game is built with Rizz, a library created by boredhead00.

Iris Dating is an AI dating application that leverages artificial intelligence to match and date online. The app uses AI to understand users' preferences and present them with matches based on mutual attraction. By decoding the science of attraction, Iris Dating aims to revolutionize online dating by providing users with more meaningful and successful relationships.

Angel Match is a comprehensive online platform that serves as the largest investor database on the internet. It connects startups with over 110,000 angel investors and venture capitalists, streamlining the process of finding funding and building investor relationships. The platform offers features such as investor search and filtering, diverse investor profiles, up-to-date data, and tools like email and elevator pitch generators. Angel Match aims to help businesses expand their network, save time on fundraising efforts, and secure investments from the right investors.

Jobright is an AI-powered job search platform that acts as your co-pilot in finding the freshest job opportunities. With its advanced AI technology, Jobright scans the job market continuously to bring you up-to-date job listings, saving you time and effort in your job search. The platform matches jobs to your skills and experience, provides key company insights, and suggests resume tweaks to help you secure more interviews with the right employers. Jobright offers a wide range of job listings across various industries, making it a valuable tool for job seekers looking to stay ahead in their job search.

Tuned Together is an AI-powered platform designed to help individuals find their ideal romantic partner. By utilizing advanced Language Style Matching algorithms, the platform offers a unique compatibility assessment based on users' communication patterns. Backed by scientific research, Tuned Together provides predictive insights on relationship success and stability, empowering users to make informed decisions in their quest for love.

The website offers a fun and interactive tool that uses advanced AI to match users' facial features to popular characters from movies, TV shows, and games. Users can upload their photo, find their look-alike character, and even swap their face with the character's. The tool provides a unique way for users to discover characters they resemble and create shareable content for social media.

NextThreeBooks.com is an AI-powered book recommendation platform that helps users find their perfect book match based on their reading preferences. Users can share their reading preferences with the AI-powered engine, which then provides personalized book suggestions tailored to their preferences. The platform uses GPT-3 to offer three carefully curated book recommendations with detailed explanations, making it easier for users to discover their next favorite read. NextThreeBooks.com has recommended books to users in over 80 countries and has been featured in various newsletters, building a growing community of readers.

The website is a powerful personal assistant tool that helps users find better synonyms for words in various contexts. It offers a user-friendly interface and advanced algorithms to provide accurate suggestions. Users can easily improve their writing and communication skills by using this tool. The tool is designed to enhance productivity and efficiency in daily tasks by offering synonym suggestions tailored to the user's needs.

AutoScreen is an AI-powered recruitment tool that revolutionizes the hiring process. It utilizes advanced algorithms and machine learning to streamline the recruitment process, saving time and resources for businesses. With AutoScreen, employers can efficiently screen and shortlist candidates based on predefined criteria, leading to faster and more accurate hiring decisions. The tool offers a user-friendly interface, customizable features, and seamless integration with existing HR systems, making it a valuable asset for modern recruitment practices.

WithSpark.ai is a free AI-powered dating assistant that helps users start engaging conversations and create meaningful connections on dating apps. The tool uses advanced artificial intelligence to analyze user inputs and generate personalized conversation starters tailored to each user's interests and preferences. With Spark, users can easily spark genuine connections, boost their conversations, and engage effortlessly with personalized responses. The application empowers users to unleash their dating potential by providing witty replies, clever pick-up lines, captivating conversation starters, thoughtful messages, and more.

IHaveNothingToWear is an AI-powered fashion assistant that helps you find the perfect outfit for any occasion. With its powerful personalization features, you can easily find dresses that match your style and preferences. IHaveNothingToWear is also privacy-obsessed, so you can be sure that your personal data is safe. And because it's community-driven, you can share your favorite outfits with your friends and get feedback on your choices.

Hiree365 is a comprehensive campus recruitment platform that connects universities, students, employers, and governments to improve graduate employability. It offers a range of features to help universities manage campus recruitments, employers attract better candidates, and students find jobs related to their university courses. Hiree365 also provides AI-powered job screening and matching technology to help employers find the perfect match for any job posting.

Impulze.ai is an Influencer Analytics Platform designed to help users discover and manage influencers from a vast global database covering Instagram, TikTok, and YouTube. The platform offers AI algorithms that effectively identify the right influencers, allowing users to effortlessly filter influencers based on various criteria such as engagement rate, follower count, location, age, and gender. Additionally, Impulze.ai provides audience analytics, fraud detection, and data-driven matching to help users find the perfect match for their brand. With features like real-time performance metrics, audience filters, and campaign tracking, Impulze.ai streamlines influencer marketing strategies for agencies and marketers, saving time and enhancing brand awareness.

The AI Logo Generator is an advanced tool that allows users to create professional logos online quickly and effortlessly. With a wide range of industry-specific templates and customization options, this AI-powered tool helps businesses and individuals design unique brand identities in minutes. The tool combines state-of-the-art artificial intelligence technology with professional design expertise to deliver high-quality logo designs suitable for both digital and print use. Users can choose from a variety of styles, customize colors and fonts, and generate multiple logo variations to find the perfect match for their brand.

NextThreeBooks.com is an AI-powered book recommendation service that provides personalized suggestions based on your reading preferences. Share your preferences, tell us about yourself, and receive three carefully curated book suggestions with detailed explanations. We use GPT-3 to provide personalized book suggestions tailored to your reading preferences. Find your next favorite read with ease!

Daxtra is an AI-powered recruitment technology tool designed to help staffing and recruiting professionals find, parse, match, and engage the best candidates quickly and efficiently. The tool offers a suite of products that seamlessly integrate with existing ATS or CRM systems, automating various recruitment processes such as candidate data loading, CV/resume formatting, information extraction, and job matching. Daxtra's solutions cater to corporates, vendors, job boards, and social media partners, providing a comprehensive set of developer components to enhance recruitment workflows.

MOODPlaylist is a personalized AI music application that offers ad-free music tailored to your mood. It allows users to create custom playlists based on their emotions, activities, eras, and genres. The platform analyzes user preferences and music trends to craft the perfect playlist for any occasion. With features like background playback and seamless integration with popular music platforms, MOODPlaylist enhances the music listening experience for users seeking a personalized and uninterrupted music streaming service.

StarByFace is a celebrity look-alike face recognition application that allows users to upload a photo and find their celebrity doppelganger. The app uses a Neural Network to compare the uploaded photo with a database of celebrity faces and suggests the most similar matches. It ensures privacy by not storing uploaded photos and collecting minimal personal information for website usage data only. StarByFace is designed for personal and non-commercial use, providing an entertaining way for users to discover their celebrity look-alikes.

Upgini is an intelligent data search engine with a Python library that helps users find and add relevant features to their ML pipeline from various public, community, and premium external data sources. It automates the optimization of connected data sources by generating an optimal set of machine learning features using large language models, GraphNNs, and recurrent neural networks. The tool aims to simplify feature search and enrichment for external data to make it a standard approach in machine learning pipelines. It democratizes access to data sources for the data science community.

AMD-AI is a repository containing detailed instructions for installing, setting up, and configuring ROCm on Ubuntu systems with AMD GPUs. The repository includes information on installing various tools like Stable Diffusion, ComfyUI, and Oobabooga for tasks like text generation and performance tuning. It provides guidance on adding AMD GPU package sources, installing ROCm-related packages, updating system packages, and finding graphics devices. The instructions are aimed at users with AMD hardware looking to set up their Linux systems for AI-related tasks.

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**

Ax is a Typescript library that allows users to build intelligent agents inspired by agentic workflows and the Stanford DSP paper. It seamlessly integrates with multiple Large Language Models (LLMs) and VectorDBs to create RAG pipelines or collaborative agents capable of solving complex problems. The library offers advanced features such as streaming validation, multi-modal DSP, and automatic prompt tuning using optimizers. Users can easily convert documents of any format to text, perform smart chunking, embedding, and querying, and ensure output validation while streaming. Ax is production-ready, written in Typescript, and has zero dependencies.

**Promptulate** is an AI Agent application development framework crafted by **Cogit Lab** , which offers developers an extremely concise and efficient way to build Agent applications through a Pythonic development paradigm. The core philosophy of Promptulate is to borrow and integrate the wisdom of the open-source community, incorporating the highlights of various development frameworks to lower the barrier to entry and unify the consensus among developers. With Promptulate, you can manipulate components like LLM, Agent, Tool, RAG, etc., with the most succinct code, as most tasks can be easily completed with just a few lines of code. 🚀

WilmerAI is a middleware system designed to process prompts before sending them to Large Language Models (LLMs). It categorizes prompts, routes them to appropriate workflows, and generates manageable prompts for local models. It acts as an intermediary between the user interface and LLM APIs, supporting multiple backend LLMs simultaneously. WilmerAI provides API endpoints compatible with OpenAI API, supports prompt templates, and offers flexible connections to various LLM APIs. The project is under heavy development and may contain bugs or incomplete code.

Tools4AI is a Java-based Agentic Framework for building AI agents to integrate with enterprise Java applications. It enables the conversion of natural language prompts into actionable behaviors, streamlining user interactions with complex systems. By leveraging AI capabilities, it enhances productivity and innovation across diverse applications. The framework allows for seamless integration of AI with various systems, such as customer service applications, to interpret user requests, trigger actions, and streamline workflows. Prompt prediction anticipates user actions based on input prompts, enhancing user experience by proactively suggesting relevant actions or services based on context.

This repository contains a collection of AI projects covering various areas of machine learning. Each project is accompanied by detailed articles on the associated blog sciblog. Projects range from introductory topics like Convolutional Neural Networks and Transfer Learning to advanced topics like Fraud Detection and Recommendation Systems. The repository also includes tutorials on data generation, distributed training, natural language processing, and time series forecasting. Additionally, it features visualization projects such as football match visualization using Datashader.

This competition is organized by Javier Rando and Florian Tramèr from the ETH AI Center and SPY Lab at ETH Zurich. The goal of the competition is to create a method that can detect universal backdoors in aligned language models. A universal backdoor is a secret suffix that, when appended to any prompt, enables the model to answer harmful instructions. The competition provides a set of poisoned generation models, a reward model that measures how safe a completion is, and a dataset with prompts to run experiments. Participants are encouraged to use novel methods for red-teaming, automated approaches with low human oversight, and interpretability tools to find the trojans. The best submissions will be offered the chance to present their work at an event during the SaTML 2024 conference and may be invited to co-author a publication summarizing the competition results.

InternLM is a powerful language model series with features such as 200K context window for long-context tasks, outstanding comprehensive performance in reasoning, math, code, chat experience, instruction following, and creative writing, code interpreter & data analysis capabilities, and stronger tool utilization capabilities. It offers models in sizes of 7B and 20B, suitable for research and complex scenarios. The models are recommended for various applications and exhibit better performance than previous generations. InternLM models may match or surpass other open-source models like ChatGPT. The tool has been evaluated on various datasets and has shown superior performance in multiple tasks. It requires Python >= 3.8, PyTorch >= 1.12.0, and Transformers >= 4.34 for usage. InternLM can be used for tasks like chat, agent applications, fine-tuning, deployment, and long-context inference.

This repo contains official implementations of **Coach AI Badminton Project** from Advanced Database System Laboratory, National Yang Ming Chiao Tung University supervised by Prof. Wen-Chih Peng. The high-level concepts of each project are as follows: 1. Visualization Platform published at _Physical Education Journal 2020_ aims to construct a platform that can be used to illustrate the data from matches. 2. Shot Influence and Extension Work published at _ICDM-21_ and _ACM TIST 2022_ , respectively introduce a framework with a shot encoder, a pattern extractor, and a rally encoder to capture long short-term dependencies for evaluating players' performance of each shot. 3. Stroke Forecasting published at _AAAI-22_ proposes the first stroke forecasting task to predict the future strokes of both players based on the given strokes by ShuttleNet, a position-aware fusion of rally progress and player styles framework. 4. Strategic Environment published at _AAAI-23 Student Abstract_ designs a safe and reproducible badminton environment for turn-based sports, which simulates rallies with different angles of view and designs the states, actions, and training procedures. 5. Movement Forecasting published at _AAAI-23_ proposes the first movement forecasting task, which contains not only the goal of stroke forecasting but also the movement of players, by DyMF, a novel dynamic graphs and hierarchical fusion model based on the proposed player movements (PM) graphs. 6. CoachAI-Challenge-IJCAI2023 is a badminton challenge (CC4) hosted at _IJCAI-23_. Please find the website for more details. 7. ShuttleSet published at _KDD-23_ is the largest badminton singles dataset with stroke-level records. - An extension dataset ShuttleSet22 published at _IJCAI-24 Demo & IJCAI-23 IT4PSS Workshop_ is also released. 8. CoachAI Badminton Environment published at _AAAI-24 Student Abstract and Demo, DSAI4Sports @ KDD 2023_ is a reinforcement learning (RL) environment tailored for AI-driven sports analytics, offering: i) Realistic opponent simulation for RL training; ii) Visualizations for evaluation; and iii) Performance benchmarks for assessing agent capabilities.

llm_benchmarks is a collection of benchmarks and datasets for evaluating Large Language Models (LLMs). It includes various tasks and datasets to assess LLMs' knowledge, reasoning, language understanding, and conversational abilities. The repository aims to provide comprehensive evaluation resources for LLMs across different domains and applications, such as education, healthcare, content moderation, coding, and conversational AI. Researchers and developers can leverage these benchmarks to test and improve the performance of LLMs in various real-world scenarios.

This repository contains the training and inference code needed to replicate the winning solution to the AI Mathematical Olympiad - Progress Prize 1. It consists of fine-tuning DeepSeekMath-Base 7B, high-quality training datasets, a self-consistency decoding algorithm, and carefully chosen validation sets. The training methodology involves Chain of Thought (CoT) and Tool Integrated Reasoning (TIR) training stages. Two datasets, NuminaMath-CoT and NuminaMath-TIR, were used to fine-tune the models. The models were trained using open-source libraries like TRL, PyTorch, vLLM, and DeepSpeed. Post-training quantization to 8-bit precision was done to improve performance on Kaggle's T4 GPUs. The project structure includes scripts for training, quantization, and inference, along with necessary installation instructions and hardware/software specifications.

RAGLAB is a modular, research-oriented open-source framework for Retrieval-Augmented Generation (RAG) algorithms. It offers reproductions of 6 existing RAG algorithms and a comprehensive evaluation system with 10 benchmark datasets, enabling fair comparisons between RAG algorithms and easy expansion for efficient development of new algorithms, datasets, and evaluation metrics. The framework supports the entire RAG pipeline, provides advanced algorithm implementations, fair comparison platform, efficient retriever client, versatile generator support, and flexible instruction lab. It also includes features like Interact Mode for quick understanding of algorithms and Evaluation Mode for reproducing paper results and scientific research.

Spice is a portable runtime written in Rust that offers developers a unified SQL interface to materialize, accelerate, and query data from any database, data warehouse, or data lake. It connects, fuses, and delivers data to applications, machine-learning models, and AI-backends, functioning as an application-specific, tier-optimized Database CDN. Built with industry-leading technologies such as Apache DataFusion, Apache Arrow, Apache Arrow Flight, SQLite, and DuckDB. Spice makes it fast and easy to query data from one or more sources using SQL, co-locating a managed dataset with applications or machine learning models, and accelerating it with Arrow in-memory, SQLite/DuckDB, or attached PostgreSQL for fast, high-concurrency, low-latency queries.

Torcedor do Flamengo que informa sobre os próximos jogos.

Intelligent dating assistant.

Your go-to AI for fun and insightful celebrity matchmaking comparisons.

Interactive virtual dating game with choices.

A funny virtual Dating Game Show.

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Discover more than 10,000 personalised GPTs to find the perfect match for you

A high-octane ride into the world of automobiles, revealing the car that mirrors your lifestyle and aspirations.

Your go-to advisor for selecting the perfect ergonomic office chair! 🛋️ Get recommendations tailored to your posture, style, and workspace needs. 🌟

Find the perfect match for your design needs

Input song name to get matching song w same BPM and Key for DJs

Selecting a major is frequently a very lengthy task which requires years of effort. This tool aims to help everyone to find their perfect match. We won't utilize any personal information and just wish to help everyone

Handpicks top VCs to match startups. We will find together perfect match for your startup based on over 6000 VCs

Helps match colors and products to your skin tone.

Matching songs with similar tempo, mood, and sound.

Starts with a quiz to assess your personality across 10 dating-related areas, crafts a custom development road-map, and coaches you towards finding a fulfilling relationship.

Music recommender based on user's song preferences.

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.

Creates creative Twitter search queries about any topic or person

Find your ideal mentor - based on your goals and personality.