Best AI tools for< Sequence Labeling >

Mailvio is an email marketing platform designed to help influencers and creators monetize their followers more effectively. It offers a range of features to help users automate their email marketing, including powerful segmentation, AI-powered email creation, and detailed analytics. Mailvio also provides a drag-and-drop editor, pre-designed email templates, and round-the-clock expert support.

Cascadeur is a standalone 3D software that lets you create keyframe animation, as well as clean up and edit any imported ones. Thanks to its AI-assisted and physics tools you can dramatically speed up the animation process and get high quality results. It works with .FBX, .DAE and .USD files making it easy to integrate into any animation workflow.

Ogma is an interpretable symbolic general problem-solving model that utilizes a symbolic sequence modeling paradigm to address tasks requiring reliability, complex decomposition, and without hallucinations. It offers solutions in areas such as math problem-solving, natural language understanding, and resolution of uncertainty. The technology is designed to provide a structured approach to problem-solving by breaking down tasks into manageable components while ensuring interpretability and self-interpretability. Ogma aims to set benchmarks in problem-solving applications by offering a reliable and transparent methodology.

Phenaki is a model capable of generating realistic videos from a sequence of textual prompts. It is particularly challenging to generate videos from text due to the computational cost, limited quantities of high-quality text-video data, and variable length of videos. To address these issues, Phenaki introduces a new causal model for learning video representation, which compresses the video to a small representation of discrete tokens. This tokenizer uses causal attention in time, which allows it to work with variable-length videos. To generate video tokens from text, Phenaki uses a bidirectional masked transformer conditioned on pre-computed text tokens. The generated video tokens are subsequently de-tokenized to create the actual video. To address data issues, Phenaki demonstrates how joint training on a large corpus of image-text pairs as well as a smaller number of video-text examples can result in generalization beyond what is available in the video datasets. Compared to previous video generation methods, Phenaki can generate arbitrarily long videos conditioned on a sequence of prompts (i.e., time-variable text or a story) in an open domain. To the best of our knowledge, this is the first time a paper studies generating videos from time-variable prompts. In addition, the proposed video encoder-decoder outperforms all per-frame baselines currently used in the literature in terms of spatio-temporal quality and the number of tokens per video.

FlashIntel is a revenue acceleration platform that offers a suite of tools and solutions to streamline sales and partnership processes. It provides features like real-time enrichment, personalized messaging, sequence and cadence, email deliverability, parallel dialing, account-based marketing, and more. The platform aims to help businesses uncover ideal prospects, target key insights, craft compelling outreach sequences, research companies and people's contacts in real-time, and execute omnichannel sequences with AI personalization.

Diagramix is an AI-powered tool that allows users to generate various types of diagrams, such as sequence diagrams, flowcharts, state diagrams, ER diagrams, user journey diagrams, class diagrams, mind maps, and use case diagrams. Users can create these diagrams easily and efficiently with the help of Diagramix and ChatGPT. The tool provides a user-friendly interface for creating visual representations of complex systems and processes, making it ideal for professionals, students, and anyone who needs to visualize information.

Cerebras is an AI tool that offers products and services related to AI supercomputers, cloud system processors, and applications for various industries. It provides high-performance computing solutions, including large language models, and caters to sectors such as health, energy, government, scientific computing, and financial services. Cerebras specializes in AI model services, offering state-of-the-art models and training services for tasks like multi-lingual chatbots and DNA sequence prediction. The platform also features the Cerebras Model Zoo, an open-source repository of AI models for developers and researchers.

The website offers a platform for users to create history timelines. Users can easily create and view top verified timelines on various historical topics. It provides a user-friendly interface for organizing historical events in chronological order, allowing users to visualize and understand the sequence of events over time.

Hoppy Copy is an AI email writing platform designed specifically for marketers. It offers a range of AI-powered tools to help users create better emails, newsletters, and marketing content effortlessly. With features like AI Copywriter, Newsletter Creator, Email Sequence Creator, Brand Library, and more, Hoppy Copy streamlines the email marketing process and saves users time by generating high-quality content quickly. The platform also provides advanced writing formulas, unlimited brand voices & styles, and integrations for seamless content creation and publishing. Hoppy Copy is a must-have tool for email marketers looking to boost engagement and drive revenue through effective email campaigns.

LitLab.ai is an innovative AI-powered platform that offers an infinite, custom decodable library for students to enhance their decoding and fluency skills. It allows users to generate personalized decodable stories within seconds or choose from a vast collection of grab-and-go stories. The platform empowers students to become story creators, aligns content with core phonics scope & sequence, and provides rigorous practice embedded in connected text. LitLab.ai is grounded in the Science of Reading and is designed to support decoding and automaticity. It is a trusted and award-winning reading software co-designed with educators, ensuring an engaging and interactive learning experience for students.

Atochat is an AI chatbot marketing tool that helps businesses level up their lead generation, sales, and customer support through automation. It offers a Visual Drag & Drop Flow Builder for creating dynamic chatbots without coding. With features like impactful broadcasting, real-time customer support, sequence messaging, user input flow, and webhook workflow, Atochat revolutionizes business workflows. It also provides an E-commerce platform, form builder for scheduling appointments, and WooCommerce automation. The tool enables efficient chat management with a shared team inbox and offers various pricing plans to cater to different business needs.

Jason AI is a conversational AI assistant designed specifically for B2B sales professionals. It automates outreach sequences, handles prospect responses, and books meetings, freeing up sales reps to focus on closing deals. Jason AI uses advanced natural language processing (NLP) to understand the context of conversations and respond in a personalized and engaging way. It integrates with popular CRM and email platforms, making it easy to use and manage.

MagikKraft is an AI-powered platform that simplifies complex controls by enabling users to create personalized sequences and actions for programmable devices like drones, automated appliances, and self-driving vehicles. Users can craft customized recipes, test them in a virtual environment, and deploy them seamlessly into the real world. MagikKraft prioritizes privacy, user control, and creative freedom, aiming to enhance technology's potential while ensuring no harm or unforeseen consequences.

Mixmax is a sales engagement platform designed to help revenue teams reach, close, and expand more customers through personalized sequences powered by AI. It offers features such as sequences, engagement rules, workflow reporting, insights, calendar scheduling, inbound lead routing, email composition, SMS, dialer, and various integrations with popular tools like Salesforce, Gong, Slack, LinkedIn Sales Navigator, and more. Mixmax enables users to automate repetitive tasks, gain powerful insights, collaborate across the revenue team, and easily schedule meetings with prospects. It is trusted by thousands of fast-growing companies to boost sales productivity and efficiency.

InboxPro is an AI-powered sales tool that helps businesses streamline the process of acquiring and nurturing clients. It offers a range of features such as AI email assistant, calendar scheduling, automated follow-up sequences, email tracking, and email templates. InboxPro helps businesses reduce tasks, optimize prospects, and close deals efficiently with a simplified and effective sales process.

Clodura is an AI-powered lead generation platform that combines database management, sales engagement, email verification, buyer intent analysis, and data enrichment in one comprehensive solution. It empowers B2B outreach efforts by providing a wealth of information, including 600M B2B contacts, 120M direct dials, technographic data, organizational insights, and more. With features like automated sequences, AI writer, advanced analytics, and seamless CRM integration, Clodura streamlines outreach and maximizes results. The platform also offers real-time email verification, buyer intent identification, data enrichment, and CRM cleanup capabilities, making it a go-to sales technology for businesses of all sizes.

Humanlinker is a leading generative AI platform that revolutionizes personalized prospecting for sales teams. It combines AI with personalized sales outreach to supercharge pipelines and close more deals. The platform offers features such as AI Sequences Campaigns, AI Multichannel Engagement, AI Sales Copywriting, DISC Personality Analysis, and 360° Prospect Analysis to provide actionable insights and improve messaging quality through AI.

Cerebras is a leading AI tool and application provider that offers cutting-edge AI supercomputers, model services, and cloud solutions for various industries. The platform specializes in high-performance computing, large language models, and AI model training, catering to sectors such as health, energy, government, and financial services. Cerebras empowers developers and researchers with access to advanced AI models, open-source resources, and innovative hardware and software development kits.

Tugan.ai is an AI tool designed to help entrepreneurs, marketers, and content creators transform any content, such as YouTube videos, articles, or websites, into original, world-class content and marketing. By leveraging AI technology, users can stand out in the competitive Attention Economy without struggling for ideas and writing. The tool offers various features to generate new leads, sales, and business opportunities, create full email sequences, expand professional networks on LinkedIn, accelerate product testing with high-converting ads, and create newsletters with valuable content. Tugan.ai provides instant writing that feels human-like, allows users to enter a URL and export results in one click, and aims to make content creation easier and more efficient for its users.

EDGE is an AI-powered tool for editable dance generation from music. It utilizes a transformer-based diffusion model paired with Jukebox music feature extractor to create realistic and physically-plausible dances while remaining faithful to input music. The tool offers powerful editing capabilities such as joint-wise conditioning, motion in-betweening, and dance continuation. EDGE has been compared to other methods like Bailando and FACT, with human raters strongly preferring dances generated by EDGE due to its high-quality choreographies. The tool supports arbitrary spatial and temporal constraints, enabling users to create dances of any length and apply various motion constraints for dance generation.

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.

MindNLP is an open-source NLP library based on MindSpore. It provides a platform for solving natural language processing tasks, containing many common approaches in NLP. It can help researchers and developers to construct and train models more conveniently and rapidly. Key features of MindNLP include: * Comprehensive data processing: Several classical NLP datasets are packaged into a friendly module for easy use, such as Multi30k, SQuAD, CoNLL, etc. * Friendly NLP model toolset: MindNLP provides various configurable components. It is friendly to customize models using MindNLP. * Easy-to-use engine: MindNLP simplified complicated training process in MindSpore. It supports Trainer and Evaluator interfaces to train and evaluate models easily. MindNLP supports a wide range of NLP tasks, including: * Language modeling * Machine translation * Question answering * Sentiment analysis * Sequence labeling * Summarization MindNLP also supports industry-leading Large Language Models (LLMs), including Llama, GLM, RWKV, etc. For support related to large language models, including pre-training, fine-tuning, and inference demo examples, you can find them in the "llm" directory. To install MindNLP, you can either install it from Pypi, download the daily build wheel, or install it from source. The installation instructions are provided in the documentation. MindNLP is released under the Apache 2.0 license. If you find this project useful in your research, please consider citing the following paper: @misc{mindnlp2022, title={{MindNLP}: a MindSpore NLP library}, author={MindNLP Contributors}, howpublished = {\url{https://github.com/mindlab-ai/mindnlp}}, year={2022} }

**bert4torch** is a high-level framework for training and deploying transformer models in PyTorch. It provides a simple and efficient API for building, training, and evaluating transformer models, and supports a wide range of pre-trained models, including BERT, RoBERTa, ALBERT, XLNet, and GPT-2. bert4torch also includes a number of useful features, such as data loading, tokenization, and model evaluation. It is a powerful and versatile tool for natural language processing tasks.

Hezar is an all-in-one AI library designed specifically for the Persian community. It brings together various AI models and tools, making it easy to use AI with just a few lines of code. The library seamlessly integrates with Hugging Face Hub, offering a developer-friendly interface and task-based model interface. In addition to models, Hezar provides tools like word embeddings, tokenizers, feature extractors, and more. It also includes supplementary ML tools for deployment, benchmarking, and optimization.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

Efficient Foundation Model Survey is a comprehensive analysis of resource-efficient large language models (LLMs) and multimodal foundation models. The survey covers algorithmic and systemic innovations to support the growth of large models in a scalable and environmentally sustainable way. It explores cutting-edge model architectures, training/serving algorithms, and practical system designs. The goal is to provide insights on tackling resource challenges posed by large foundation models and inspire future breakthroughs in the field.

Paper-Reading-ConvAI is a repository that contains a list of papers, datasets, and resources related to Conversational AI, mainly encompassing dialogue systems and natural language generation. This repository is constantly updating.

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.

The 'awesome-sound_event_detection' repository is a curated reading list focusing on sound event detection and Sound AI. It includes research papers covering various sub-areas such as learning formulation, network architecture, pooling functions, missing or noisy audio, data augmentation, representation learning, multi-task learning, few-shot learning, zero-shot learning, knowledge transfer, polyphonic sound event detection, loss functions, audio and visual tasks, audio captioning, audio retrieval, audio generation, and more. The repository provides a comprehensive collection of papers, datasets, and resources related to sound event detection and Sound AI, making it a valuable reference for researchers and practitioners in the field.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

This repository contains projects and notes on common practical techniques for fine-tuning Large Language Models (LLMs). It includes fine-tuning LLM notebooks, Colab links, LLM techniques and utils, and other smaller language models. The repository also provides links to YouTube videos explaining the concepts and techniques discussed in the notebooks.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

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.

Gives global, personalized cleaning advice

Turns content into mermaid diagrams like flowcharts or sequence diagrams.

Acts as a software engineer interviewer, asking questions in sequence.

Create UML for flowcharts, Class, Sequence, Use Case, and Activity diagrams using PlantUML. System design and cloud infrastructure diagrams for AWS, Azue and GCP. No login required.

The specific types of diagrams I can produce, such as sequence diagrams, mind maps, and flowcharts, along with the appropriate contexts for each type.

Diagram creation: flowcharts, mindmaps, UML, chart, PlotUML, workflow, sequence, ERD, database & architecture visualization for code, presentations and documentation. [New] Add a logo or any image to graph diagrams. Easy Download & Edit

Discover the hidden connection of a number.

Generates sequences inspired by global lottery numbers.

Unlock the secrets of DNA with 🧬GenoCode Wizard🔬! Dive into genetic analysis, decode sequences, and explore bioinformatics with ease. Perfect for researchers and students!

Skilled in Python, Linux, R, and more.

Innovative GPT in genetic engineering, compliant with OpenAI's usage policies

AI Yoga recommends poses, maintaining user privacy and confidentiality.

I assist with gene data queries and enable file downloads.

Criar roteiros para post Estatico, Carrossel, Reels ou sequencia de Storys

A versatile guide for yoga students and teachers.

A film director helping to visualize scripts into storyboards.