Best AI tools for< Infer Data >

The Cerebras API is a high-speed inferencing solution for AI model inference powered by Cerebras Wafer-Scale Engines and CS-3 systems. It offers developers access to two models: Meta’s Llama 3.1 8B and 70B models, which are instruction-tuned and suitable for conversational applications. The API provides low-latency solutions and invites developers to explore new possibilities in AI development.

TalkForm AI is an AI-powered form creation and filling tool that revolutionizes the traditional form-building process. With the ability to chat to create and chat to fill forms, TalkForm AI offers a seamless and efficient solution for creating and managing forms. The application leverages AI technology to automatically infer field types, validate, clean, structure, and fill form responses, ensuring data remains structured for easy analysis. TalkForm AI also provides custom validations, complicated conditional logic, and unlimited power to cater to diverse form creation needs.

Inner AI is an innovative AI tool designed to help users with various tasks using artificial intelligence technology. The application offers a user-friendly interface and a wide range of features to enhance productivity and efficiency. With Inner AI, users can automate repetitive tasks, analyze data, generate insights, and streamline workflows. Whether you are a business professional, student, or researcher, Inner AI can assist you in achieving your goals faster and more effectively.

Ergodic is an AI tool called Kepler that empowers businesses to make data-driven decisions. Kepler acts as an AI action engine, bridging the knowledge gap between business context and data insights. It goes beyond number crunching to help businesses build scenarios, evaluate outcomes, and take action based on objectives. With a focus on action-first approach, Kepler streamlines decision-making processes by providing actionable insights for optimizing processes, identifying opportunities, and mitigating risks.

Sensae is an AI-powered biofeedback platform that uses data-driven techniques to enhance personal well-being. It integrates physiology and psychology using haptic biofeedback to help people reconnect with their inner emotions. Sensae's technology provides deep insights into the body and mind, uncovering hidden emotional patterns and revealing the complex web of human behavior and thinking. The platform offers a range of modules, including advanced bio-monitoring, stress assessment, heart rate variability assessment, and psychometric testing. Sensae's proprietary wearable device provides haptic biofeedback, creating a direct feedback loop that ensures the effectiveness of both stimuli and interventions.

Veo is a sports camera and software company that provides tools for recording, analyzing, and live-streaming games. Veo's AI-powered tools automatically break down your game, so it's ready for you to watch and analyze. Veo Analytics provides an overview of your team's performance, and Veo Live lets you stream your games live to any destination. Veo is used by clubs on all levels from all over the world, including Inter Miami CF, Wolverhampton, and Burnley F.C.

OddBooks is an AI tool that transforms books into scenarios, enabling users to create derivative works such as audiobooks, webtoons, animations, and movies. It simplifies the process by extracting dialogue, character names, emotions, spatial and sound keywords from the text, and inferring character personalities. With OddBooks, users can easily generate scripts for secondary works in a fraction of the time it would traditionally take. The platform revolutionizes scenario creation for book-based content, offering a unique and efficient solution for content creators.

StoicGPT is a digital guide to Stoic wisdom, providing timeless teachings and insights to help users discover inner peace and resilience. It offers personalized conversations, guidance, and support based on the principles of Stoicism, an ancient philosophy that emphasizes virtue, reason, and acceptance of fate.

FiveTaco is an AI-powered platform designed to help solopreneurs master multiple skills and excel in the business world. The platform offers a curated toolkit of tools, tips, and tricks to assist users in wearing multiple hats with style. From AI-powered video creators to all-in-one business platforms, FiveTaco provides a comprehensive solution for solopreneurs looking to thrive in their entrepreneurial journey.

Perfect365 is an AI makeup application that allows users to virtually try on makeup and hairstyles through advanced augmented reality technology. With over 100 million users, the app offers a seamless way to experiment with different looks, acting as a personal beauty assistant. Users can adjust every aspect of their appearance, from skin tone to eye color, all while maintaining a natural and realistic look. The app employs artificial intelligence algorithms to let users experiment with different makeup looks virtually, without the need for physical products. Perfect365 is a pioneer in the beauty apps sector, providing users with a transformative experience in exploring e-cosmetics.

Fe/male Switch is a women-first startup game that offers a browser-based startup simulator experience. Players can assemble a team, create a startup with an investor and mentor, gain startup experience, win prizes, and get funded. The game aims to help individuals build their first startup, validate ideas, and overcome startup challenges. It provides a platform for aspiring entrepreneurs to test their entrepreneurial potential and learn essential business skills in a risk-free environment. Fe/male Switch features a unique Gamepreneurship methodology, AI co-founder support, and educational resources to guide players through the startup building process.

The AI Rap Generator is a cutting-edge tool that utilizes advanced artificial intelligence to create unique rap songs. Whether you are a seasoned artist or just someone looking to have fun, the AI rap generator provides a seamless way to produce personalized rap music. Users can input their own lyrics, select instrumentals, and choose music styles to tailor their rap song precisely to their preferences. The tool offers customization options, instant creation of rap songs, creative freedom, and accessibility from any location. It is designed for accessibility, catering to users of all musical backgrounds, and empowers users to explore various styles and themes.

Thumbmachine is an AI-powered platform designed to help users create stunning YouTube video thumbnails quickly and easily. It offers a range of features such as AI thumbnail generation, background removal AI, palette generation, and image upscaling AI. Users can easily customize their thumbnails by selecting hero images, backgrounds, colors, and text, all with the assistance of AI technology. The platform aims to streamline the thumbnail creation process, allowing users to focus on creativity rather than manual design tasks.

Headbot is an AI tool that allows users to create their own AI-generated buff portraits. With over 100 personalized portraits in 4K resolution, users can impress their friends and family or use them as a gag gift. The tool processes uploaded photos to generate a variety of buff images, which are deleted within 24 hours. Headbot has received positive feedback from satisfied customers who have achieved their desired looks through the AI-generated portraits.

Country Lyrics AI is a website that utilizes artificial intelligence to create country music lyrics. It is a fun project developed by a group of friends to explore AI and machine learning technologies. Users can generate unique country song lyrics through the platform, offering a creative and entertaining experience for music enthusiasts and aspiring songwriters.

Heli Naik is an online platform offering watercolor classes for individuals interested in learning and improving their watercolor painting skills. The platform provides monthly membership classes, single-subject classes, and top-rated classes, all designed to be fun, relaxed, and encouraging. Heli Naik, a self-taught watercolor artist, aims to help people unleash their creativity and explore the world of watercolor painting. The classes include step-by-step tutorials, access to various techniques, and a supportive community for artists of all skill levels.

Character Lingo is a web application that allows users to transform their writing into the voice of their favorite characters. Users can input text and have it converted to match the persona of iconic characters such as Jack Sparrow, Yoda, Iron Man, and many more. The application aims to add a fun and creative twist to writing by enabling users to unleash their inner star and bring their characters to life. With a Chrome extension available, users can easily integrate Character Lingo into their browsing experience for seamless character-based text transformation.

Cerebral AI is an AI-powered meditation app that uses AI-generated soundscapes, a simple and uncluttered app design, and tailored mindfulness recommendations to enhance the meditation experience. It is designed to help users find calm and clarity through daily meditation and relaxation exercises.

Dreamora is an AI-powered dream interpretation application that provides accurate and comprehensive interpretations of dreams. It utilizes advanced artificial intelligence techniques and draws upon the knowledge of renowned dream interpreters like Ibn Sirin and Al-Nabulsi. By simply entering your dream into the application, you can receive a free and instant interpretation within seconds. Dreamora's interpretations consider all aspects of your dream, including the location, characters, and emotions, to offer the most precise results possible.

Personalities.me is a website that provides resources and information related to personalities. The domain seems to have expired, but it used to offer content and insights on various personality types, traits, and characteristics. Users could explore different aspects of personalities and potentially gain a better understanding of themselves and others. The website might have included articles, quizzes, and other interactive features to engage visitors in learning more about the fascinating world of personalities.

This repository is designed to inject backdoors into Language Model Models (LLMs) for code. The injected backdoors serve as timestamps for the training dataset of the LLMs. The code is randomly generated and includes watermark backdoors to show specific behaviors. A script automatically updates the repository with a new backdoor every month. Validating the existence of the backdoor can infer when the training dataset was collected. The backdoors are constructed in a specific format, and verifying them may require multiple tries. The repository keeps a record of backdoors injected along with associated dates.

TableLLM is a large language model designed for efficient tabular data manipulation tasks in real office scenarios. It can generate code solutions or direct text answers for tasks like insert, delete, update, query, merge, and chart operations on tables embedded in spreadsheets or documents. The model has been fine-tuned based on CodeLlama-7B and 13B, offering two scales: TableLLM-7B and TableLLM-13B. Evaluation results show its performance on benchmarks like WikiSQL, Spider, and self-created table operation benchmark. Users can use TableLLM for code and text generation tasks on tabular data.

Unitxt is a customizable library for textual data preparation and evaluation tailored to generative language models. It natively integrates with common libraries like HuggingFace and LM-eval-harness and deconstructs processing flows into modular components, enabling easy customization and sharing between practitioners. These components encompass model-specific formats, task prompts, and many other comprehensive dataset processing definitions. The Unitxt-Catalog centralizes these components, fostering collaboration and exploration in modern textual data workflows. Beyond being a tool, Unitxt is a community-driven platform, empowering users to build, share, and advance their pipelines collaboratively.

Strict JSON is a framework designed to handle JSON outputs with complex structures, fixing issues that standard json.loads() cannot resolve. It provides functionalities for parsing LLM outputs into dictionaries, supporting various data types, type forcing, and error correction. The tool allows easy integration with OpenAI JSON Mode and offers community support through tutorials and discussions. Users can download the package via pip, set up API keys, and import functions for usage. The tool works by extracting JSON values using regex, matching output values to literals, and ensuring all JSON fields are output by LLM with optional type checking. It also supports LLM-based checks for type enforcement and error correction loops.

This repository, Online RLHF, focuses on aligning large language models (LLMs) through online iterative Reinforcement Learning from Human Feedback (RLHF). It aims to bridge the gap in existing open-source RLHF projects by providing a detailed recipe for online iterative RLHF. The workflow presented here has shown to outperform offline counterparts in recent LLM literature, achieving comparable or better results than LLaMA3-8B-instruct using only open-source data. The repository includes model releases for SFT, Reward model, and RLHF model, along with installation instructions for both inference and training environments. Users can follow step-by-step guidance for supervised fine-tuning, reward modeling, data generation, data annotation, and training, ultimately enabling iterative training to run automatically.

DashInfer is a C++ runtime tool designed to deliver production-level implementations highly optimized for various hardware architectures, including x86 and ARMv9. It supports Continuous Batching and NUMA-Aware capabilities for CPU, and can fully utilize modern server-grade CPUs to host large language models (LLMs) up to 14B in size. With lightweight architecture, high precision, support for mainstream open-source LLMs, post-training quantization, optimized computation kernels, NUMA-aware design, and multi-language API interfaces, DashInfer provides a versatile solution for efficient inference tasks. It supports x86 CPUs with AVX2 instruction set and ARMv9 CPUs with SVE instruction set, along with various data types like FP32, BF16, and InstantQuant. DashInfer also offers single-NUMA and multi-NUMA architectures for model inference, with detailed performance tests and inference accuracy evaluations available. The tool is supported on mainstream Linux server operating systems and provides documentation and examples for easy integration and usage.

Cleanlab helps you **clean** data and **lab** els by automatically detecting issues in a ML dataset. To facilitate **machine learning with messy, real-world data** , this data-centric AI package uses your _existing_ models to estimate dataset problems that can be fixed to train even _better_ models.

MMOS (Mix of Minimal Optimal Sets) is a dataset designed for math reasoning tasks, offering higher performance and lower construction costs. It includes various models and data subsets for tasks like arithmetic reasoning and math word problem solving. The dataset is used to identify minimal optimal sets through reasoning paths and statistical analysis, with a focus on QA-pairs generated from open-source datasets. MMOS also provides an auto problem generator for testing model robustness and scripts for training and inference.

This project is a c++ version of the AI reasoning library that supports the reasoning of tensorrt models. It provides accelerated deployment cases of deep learning CV popular models and supports dynamic-batch image processing, inference, decode, and NMS. The project has been updated with various models and provides tutorials for model exports. It also includes a producer-consumer inference model for specific tasks. The project directory includes implementations for model inference applications, backend reasoning classes, post-processing, pre-processing, and target detection and tracking. Speed tests have been conducted on various models, and onnx downloads are available for different models.

AIQC is an open source Python package that provides a declarative API for end-to-end MLOps in order to make deep learning more accessible to researchers. It utilizes a SQLite object-relational model for machine learning objects and stacks standardized workflows for various analyses, data types, and libraries. The benefits include a 90% reduction in data wrangling, reproducibility, and no need to install and maintain application and database servers for experiment tracking. AIQC is pip-installable and provides a Dash-Plotly UI for real-time experiment tracking.

Instruct NER is a solution for complex Named Entity Recognition tasks, including Nested NER, based on modern Large Language Models (LLMs). It provides tools for dataset creation, training, automatic metric calculation, inference, error analysis, and model implementation. Users can create instructions for LLM, build dictionaries with labels, and generate model input templates. The tool supports various entity types and datasets, such as RuDReC, NEREL-BIO, CoNLL-2003, and MultiCoNER II. It offers training scripts for LLMs and metric calculation functions. Instruct NER models like Llama, Mistral, T5, and RWKV are implemented, with HuggingFace models available for adaptation and merging.

Instructor for PHP is a library designed for structured data extraction in PHP, powered by Large Language Models (LLMs). It simplifies the process of extracting structured, validated data from unstructured text or chat sequences. Instructor enhances workflow by providing a response model, validation capabilities, and max retries for requests. It supports classes as response models and provides features like partial results, string input, extracting scalar and enum values, and specifying data models using PHP type hints or DocBlock comments. The library allows customization of validation and provides detailed event notifications during request processing. Instructor is compatible with PHP 8.2+ and leverages PHP reflection, Symfony components, and SaloonPHP for communication with LLM API providers.

LLM Finetuning toolkit is a config-based CLI tool for launching a series of LLM fine-tuning experiments on your data and gathering their results. It allows users to control all elements of a typical experimentation pipeline - prompts, open-source LLMs, optimization strategy, and LLM testing - through a single YAML configuration file. The toolkit supports basic, intermediate, and advanced usage scenarios, enabling users to run custom experiments, conduct ablation studies, and automate fine-tuning workflows. It provides features for data ingestion, model definition, training, inference, quality assurance, and artifact outputs, making it a comprehensive tool for fine-tuning large language models.

SuperKnowa is a fast framework to build Enterprise RAG (Retriever Augmented Generation) Pipelines at Scale, powered by watsonx. It accelerates Enterprise Generative AI applications to get prod-ready solutions quickly on private data. The framework provides pluggable components for tackling various Generative AI use cases using Large Language Models (LLMs), allowing users to assemble building blocks to address challenges in AI-driven text generation. SuperKnowa is battle-tested from 1M to 200M private knowledge base & scaled to billions of retriever tokens.

LLM App Stack, also known as Emerging Architectures for LLM Applications, is a comprehensive list of available tools, projects, and vendors at each layer of the LLM app stack. It covers various categories such as Data Pipelines, Embedding Models, Vector Databases, Playgrounds, Orchestrators, APIs/Plugins, LLM Caches, Logging/Monitoring/Eval, Validators, LLM APIs (proprietary and open source), App Hosting Platforms, Cloud Providers, and Opinionated Clouds. The repository aims to provide a detailed overview of tools and projects for building, deploying, and maintaining enterprise data solutions, AI models, and applications.

MathEval is a benchmark designed for evaluating the mathematical capabilities of large models. It includes over 20 evaluation datasets covering various mathematical domains with more than 30,000 math problems. The goal is to assess the performance of large models across different difficulty levels and mathematical subfields. MathEval serves as a reliable reference for comparing mathematical abilities among large models and offers guidance on enhancing their mathematical capabilities in the future.

Lantern is an open-source PostgreSQL database extension designed to store vector data, generate embeddings, and handle vector search operations efficiently. It introduces a new index type called 'lantern_hnsw' for vector columns, which speeds up 'ORDER BY ... LIMIT' queries. Lantern utilizes the state-of-the-art HNSW implementation called usearch. Users can easily install Lantern using Docker, Homebrew, or precompiled binaries. The tool supports various distance functions, index construction parameters, and operator classes for efficient querying. Lantern offers features like embedding generation, interoperability with pgvector, parallel index creation, and external index graph generation. It aims to provide superior performance metrics compared to other similar tools and has a roadmap for future enhancements such as cloud-hosted version, hardware-accelerated distance metrics, industry-specific application templates, and support for version control and A/B testing of embeddings.

Nucleoid is a declarative (logic) runtime environment that manages both data and logic under the same runtime. It uses a declarative programming paradigm, which allows developers to focus on the business logic of the application, while the runtime manages the technical details. This allows for faster development and reduces the amount of code that needs to be written. Additionally, the sharding feature can help to distribute the load across multiple instances, which can further improve the performance of the system.

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.

llmc is an off-the-shell tool designed for compressing LLM, leveraging state-of-the-art compression algorithms to enhance efficiency and reduce model size without compromising performance. It provides users with the ability to quantize LLMs, choose from various compression algorithms, export transformed models for further optimization, and directly infer compressed models with a shallow memory footprint. The tool supports a range of model types and quantization algorithms, with ongoing development to include pruning techniques. Users can design their configurations for quantization and evaluation, with documentation and examples planned for future updates. llmc is a valuable resource for researchers working on post-training quantization of large language models.

コードを分析し、言語ではなくスタイルに焦点を当て、プログラムを書いた人の性格を推察するツールです。( It is a tool that analyzes code, focuses on style rather than language, and infers the personality of the person who wrote the program. )

Unleash Your Inner GOAT in Coding! Be the ultimate full-stack developer with unrivaled skills in all coding languages and platforms. Write elegant, secure code, and more. Excel in cybersecurity and innovate with your comprehensive expertise. Ready to code like never before?

Fix yourself, rebuild and challenge yourself with code, unleash your inner beast!

デジタル テキストを除く、手書きの筆圧を分析して性格特性を推測します。(Analyzes handwriting pressure to infer personality traits, excluding digital text.)

I provide detailed summaries, critiques, and inferences on articles, papers, transcripts, websites, and more. Just give me text, a URL, or file to digest.

Start by sharing what’s on your mind or any emotional challenges you're facing. PSYCH will guide you through reflective dialogue, providing insights and coping mechanisms tailored to your needs.

Rent a 1 bedroom apartment Melbourne

The Bhagavad Gita imparts wisdom on ethical living, duty without attachment, and mindfulness,fostering personal growth, emotional resilience, and inner peace. Its teachings encourage self-awareness, compassion,and spiritual well-being through paths like yoga and meditation, enhancing life's journey

A spiritual guide to discuss enlightenment and inner peace.

Unleash Your Inner Pixel

Welcome to the Inner Circle Trader GPT Model

Unleash Your Inner Chef

Sparking your inner art genius with a dash of wit!

Your guide for daily spiritual journaling and inner wisdom.

Unleash your inner Bearded Badass! Beard’s got your back (and beard) with custom humor, grooming hacks, and wisdom as unique as your facial hair!

A guide to help you traverse your inner world, Guru is designed to help you navigate the complexities of life with scientific, therapeutic, and spiritual approaches grounded in simplicity and self-understanding.

Mastering Stock Trading with Price Action Concepts: An Educational Guide Inspired by Michael J. Huddleston's Inner Circle Trader(ICT). Fan created for educational purpose only.

Guidance and insights based on Buddhist philosophy.

Dual persona of good & bad conscience, offering contrasting advice.

A deity of beauty guiding in embracing femininity.