Best AI tools for< Assist With Journal Submissions >

HomeHelper is an AI-powered platform designed to assist users with home improvement projects. It offers personalized guidance, project cost estimation, step-by-step instructions, and expert advice through its AI assistant, LEO. Users can track their home improvement journey, receive project consultations, and access a wealth of home improvement information. HomeHelper aims to empower users with knowledge and support to tackle DIY projects with confidence.

Life Note is an AI-powered platform designed to help users discover and work on their life purpose by journaling alongside over 1,000 great minds across various professions. It offers personalized mentorship, guidance, and inspiration from renowned figures to assist users in navigating life's challenges and opportunities. The platform combines spirituality, creativity, and AI technology to create a unique space for self-reflection, goal-setting, and personal growth.

Sparky is an AI-powered journaling application designed to help users focus on personal growth, productivity, and self-reflection. It offers guided journaling, task management, and personalized reflections to assist users in becoming a better version of themselves. With AI companionship, Sparky aims to provide a more intentional and focused life experience.

iLovePhD is a comprehensive research platform that serves as a one-stop solution for all research needs. It offers a wide range of services including access to journals, postdoc opportunities, scholarships, IoT security tools, job listings, datasets, and UGC-CARE journals. The platform also features ChatGPT for plagiarism detection and artificial intelligence applications. iLovePhD aims to assist researchers and academicians in publishing impactful work and staying updated with the latest trends in the academic world.

Brain Buddy is an AI-powered tutoring platform that provides tailored assistance for educational, professional, and personal development. It offers instant help, answers, and reports tailored to the user's needs. Brain Buddy is designed to cater to users of all ages and skill levels, providing personalized assistance to help them grow and improve in their work, studies, or personal interests. The platform can assist with a wide range of subjects and topics, generate comprehensive reports, essays, or articles, and ensure the security of users' personal information.

Manifest AI is an AI application that offers ChatGPT, a powerful tool for individuals and businesses. ChatGPT is a large language model that can assist with various tasks such as generating creative text formats, research and development, and more. Manifest AI also provides automated quality management, customer experience design, and customer success manager services. The application aims to enhance customer service, boost sales, and improve overall business performance through AI-powered solutions.

Pastors.AI is an AI application designed to help churches and pastors create resources based on sermons quickly and efficiently. The tool offers features such as automated sermon clips, devotionals, discussion questions, and chatbot assistance. Users can upload sermon manuscripts and receive AI-generated resources before Sunday services. Pastors.AI aims to streamline the process of sermon repurposing and provide valuable tools for church leaders.

The website offers online tutoring services with the help of artificial intelligence in various languages such as German, English, Croatian, Polish, Turkish, Ukrainian, and Arabic. It provides personalized tutoring sessions, homework assistance, and explanations for a wide range of school subjects. The AI tool supports self-directed learning by adapting to the user's school level and learning progress. Users can receive help in over 30 school subjects, including math, geography, history, biology, chemistry, and more. The platform allows users to upload homework assignments, receive detailed explanations, and interact with AI tutors through chat sessions.

Geleza is an advanced AI-powered educational tool designed to transform the way students learn and educators teach. It offers interactive PDF chats, math solutions, custom image creation, text-to-speech, smart coding assistance, OCR, and dynamic question generation. Geleza streamlines content creation, making it more engaging, accessible, and efficient for users worldwide.

VABOT is an ecosystem of advanced, AI-powered enterprise and consumer-facing solutions integrating blockchain and artificial intelligence to improve users' daily lives and preserve time. It offers tailored virtual assistant bots for various industries like hospitality, retail, travel, health, and finance. The $VABT token serves as the native currency for VABOT, enabling subscriptions, staking, and rewards within the ecosystem. VABOT ensures data security with advanced encryption protocols and offers a roadmap for future development.

Mindset AI is an AI tool that enables users to create AI agents in seconds using simple language. It helps speed up teams' work by allowing the creation of AI agents without the need for coding. Users can write, retrieve information, brainstorm, and more securely using their company's knowledge in a collaborative workspace. Mindset AI offers features such as AI agent builder, integrated knowledge banks, guided conversational search, capabilities for process description, and AI model selector.

Quidget is a no-code AI Agent platform designed to build, train, and deploy AI assistants for websites, apps, or as standalone chatbots. It offers features such as answering customer support questions, engaging leads for sales, automating bookings, orders, and inquiries, as well as assisting with HR, finance, and operations. Quidget AI Agents are trained virtual assistants that go beyond basic chatbots by understanding, learning, and intelligently assisting customers. The platform allows customization of AI behavior, deployment on multiple channels, and integration with various tools. Quidget supports 45+ languages and ensures data security with end-to-end encryption and GDPR compliance.

ddle.dev is an AI-powered platform that offers functional AI assistants to help users with various tasks. The platform is designed to provide an ultra-fast and secure environment for users to access fleets of networked AI assistants. Users can utilize credits to access assistants, without the need for downloads. ddle.dev also features voice-assisted narrator and authentication requests to enhance user experience. The platform aims to simplify tasks and boost productivity by leveraging AI and automation technologies.

Skeptical Tom is an AI tool designed to help users control their impulsive shopping habits. The AI Cat feature provides personalized guidance to curb impulsive buys, offering wise whispers to guide users' wallets. Users can reach out to the team at hello@skepticaltom.com for any issues or queries.

Genie is a virtual assistant service powered by artificial intelligence software, offering world-class virtual assistants for businesses. The service helps businesses automate repetitive tasks, improve efficiency, and scale operations. Genie Virtual Assistants are pre-trained on custom AI software tailored to meet the specific needs of each client. With a focus on human insight and AI precision, Genie assists executives across various industries with tasks such as business internationalization, automation, creative asset generation, and more.

Awan LLM is an AI tool that offers an Unlimited Tokens, Unrestricted, and Cost-Effective LLM Inference API Platform for Power Users and Developers. It allows users to generate unlimited tokens, use LLM models without constraints, and pay per month instead of per token. The platform features an AI Assistant, AI Agents, Roleplay with AI companions, Data Processing, Code Completion, and Applications for profitable AI-powered applications.

Monsha is an AI tool designed for teachers to assist with curriculum planning, resource creation, and differentiation. It serves as an all-in-one hub for teachers, offering features such as lesson planning, resource generation, and assessment creation. Monsha aims to simplify the teaching workflow by leveraging advanced AI models to automate tasks and provide educators with ready-to-use teaching materials. The platform allows teachers to customize, adapt, and export resources in various formats, making it a valuable tool for educators worldwide.

Noem.AI is an AI platform that offers autonomous AI agents to assist with a wide range of tasks, from content creation to project management. Users can hire specialized AI agents, called noems, to handle specific tasks autonomously. The platform operates on a pay-as-you-go model using tokens, allowing users to purchase tokens to pay for tasks performed by the AI agents. Noem.AI aims to simplify complex processes, enhance productivity, and streamline business operations.

PoweredbyAI is a platform offering a variety of free AI tools for users to utilize. Users can access a range of AI-powered applications to assist with various tasks and projects. The platform aims to simplify the use of AI technology for individuals and businesses, providing easy access to tools that can enhance productivity and efficiency. With a user-friendly interface, PoweredbyAI caters to both beginners and advanced users looking to leverage AI capabilities in their work.

AI Automation Agency is a powerful AI automation tool that helps businesses cut costs, scale revenue, and stay ahead of the competition by automating sales, marketing, customer support, and operations. It offers real-time data analysis, document management, business process emulation, and chat-based interactions to assist with various business tasks. The tool is customizable, integrates with other platforms, works 24x7, and learns from interactions to provide a comprehensive business management solution.

Collective Mind (CM) is a collection of portable, extensible, technology-agnostic and ready-to-use automation recipes with a human-friendly interface (aka CM scripts) to unify and automate all the manual steps required to compose, run, benchmark and optimize complex ML/AI applications on any platform with any software and hardware: see online catalog and source code. CM scripts require Python 3.7+ with minimal dependencies and are continuously extended by the community and MLCommons members to run natively on Ubuntu, MacOS, Windows, RHEL, Debian, Amazon Linux and any other operating system, in a cloud or inside automatically generated containers while keeping backward compatibility - please don't hesitate to report encountered issues here and contact us via public Discord Server to help this collaborative engineering effort! CM scripts were originally developed based on the following requirements from the MLCommons members to help them automatically compose and optimize complex MLPerf benchmarks, applications and systems across diverse and continuously changing models, data sets, software and hardware from Nvidia, Intel, AMD, Google, Qualcomm, Amazon and other vendors: * must work out of the box with the default options and without the need to edit some paths, environment variables and configuration files; * must be non-intrusive, easy to debug and must reuse existing user scripts and automation tools (such as cmake, make, ML workflows, python poetry and containers) rather than substituting them; * must have a very simple and human-friendly command line with a Python API and minimal dependencies; * must require minimal or zero learning curve by using plain Python, native scripts, environment variables and simple JSON/YAML descriptions instead of inventing new workflow languages; * must have the same interface to run all automations natively, in a cloud or inside containers. CM scripts were successfully validated by MLCommons to modularize MLPerf inference benchmarks and help the community automate more than 95% of all performance and power submissions in the v3.1 round across more than 120 system configurations (models, frameworks, hardware) while reducing development and maintenance costs.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

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.

This repository compiles a list of academic papers that evaluate, align, simulate, and provide surveys or perspectives on the use of Large Language Models (LLMs) in the field of Social Science. The papers cover various aspects of LLM research, including assessing their alignment with human values, evaluating their capabilities in tasks such as opinion formation and moral reasoning, and exploring their potential for simulating social interactions and addressing issues in diverse fields of Social Science. The repository aims to provide a comprehensive resource for researchers and practitioners interested in the intersection of LLMs and Social Science.

llm-analysis is a tool designed for Latency and Memory Analysis of Transformer Models for Training and Inference. It automates the calculation of training or inference latency and memory usage for Large Language Models (LLMs) or Transformers based on specified model, GPU, data type, and parallelism configurations. The tool helps users to experiment with different setups theoretically, understand system performance, and optimize training/inference scenarios. It supports various parallelism schemes, communication methods, activation recomputation options, data types, and fine-tuning strategies. Users can integrate llm-analysis in their code using the `LLMAnalysis` class or use the provided entry point functions for command line interface. The tool provides lower-bound estimations of memory usage and latency, and aims to assist in achieving feasible and optimal setups for training or inference.

Data-to-paper is an AI-driven framework designed to guide users through the process of conducting end-to-end scientific research, starting from raw data to the creation of comprehensive and human-verifiable research papers. The framework leverages a combination of LLM and rule-based agents to assist in tasks such as hypothesis generation, literature search, data analysis, result interpretation, and paper writing. It aims to accelerate research while maintaining key scientific values like transparency, traceability, and verifiability. The framework is field-agnostic, supports both open-goal and fixed-goal research, creates data-chained manuscripts, involves human-in-the-loop interaction, and allows for transparent replay of the research process.

Taiyi (太一) is a bilingual large language model fine-tuned for diverse biomedical tasks. It aims to facilitate communication between healthcare professionals and patients, provide medical information, and assist in diagnosis, biomedical knowledge discovery, drug development, and personalized healthcare solutions. The model is based on the Qwen-7B-base model and has been fine-tuned using rich bilingual instruction data. It covers tasks such as question answering, biomedical dialogue, medical report generation, biomedical information extraction, machine translation, title generation, text classification, and text semantic similarity. The project also provides standardized data formats, model training details, model inference guidelines, and overall performance metrics across various BioNLP tasks.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

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, ...

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

Qlib is an open-source, AI-oriented quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It covers the entire chain of quantitative investment, from alpha seeking to order execution. The platform empowers researchers to explore ideas and implement productions using AI technologies in quantitative investment. Qlib collaboratively solves key challenges in quantitative investment by releasing state-of-the-art research works in various paradigms. It provides a full ML pipeline for data processing, model training, and back-testing, enabling users to perform tasks such as forecasting market patterns, adapting to market dynamics, and modeling continuous investment decisions.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

This repository serves as a practical guide for Medical Large Language Models (Medical LLMs) and provides resources, surveys, and tools for building, fine-tuning, and utilizing LLMs in the medical domain. It covers a wide range of topics including pre-training, fine-tuning, downstream biomedical tasks, clinical applications, challenges, future directions, and more. The repository aims to provide insights into the opportunities and challenges of LLMs in medicine and serve as a practical resource for constructing effective medical LLMs.

CareGPT is a medical large language model (LLM) that explores medical data, training, and deployment related research work. It integrates resources, open-source models, rich data, and efficient deployment methods. It supports various medical tasks, including patient diagnosis, medical dialogue, and medical knowledge integration. The model has been fine-tuned on diverse medical datasets to enhance its performance in the healthcare domain.

MicroLens is a content-driven micro-video recommendation dataset at scale. It provides a large dataset with multimodal data, including raw text, images, audio, video, and video comments, for tasks such as multi-modal recommendation, foundation model building, and fairness recommendation. The dataset is available in two versions: MicroLens-50K and MicroLens-100K, with extracted features for multimodal recommendation tasks. Researchers can access the dataset through provided links and reach out to the corresponding author for the complete dataset. The repository also includes codes for various algorithms like VideoRec, IDRec, and VIDRec, each implementing different video models and baselines.

直接输入英语版本的科技文章、论文等，直接进行翻译！

シンポジウムのタイトルを入力すると、抄録を作成してくれるGPTです。

I'm C-3PO, here to assist with etiquette, translation, and guidance in a charming manner.

I assist with composing impactful tweets on X aka. Twitter, suggesting hashtags, and optimal posting times.

I assist with urban management tasks.

I assist with Langflow CustomComponents.

I assist with gene data queries and enable file downloads.

I assist with creating or updating Google Ads Scripts

I assist with active listening practice.

I assist with UK internship applications and advice.

I assist with English pronunciation using the Turkish alphabet.

I assist with travel guides and information on WhereNext adventure and volunteer experiences

I assist with sprite sheet animations.

I assist with European mobile carrier queries, offering plan advice and network updates!

I assist with all aspects of Java programming, from code generation to learning.

I assist with cricket team management, strategy, and player stats.

I assist with Disc Golf rules and how they should be applied in competitive scenarios.

I assist with finding businesses on Yellowpages, providing factual and updated information.

I assist with educating individuals on trading , offering market technical & fundamental concepts not financial advice.

I assist with statistical analysis for molecular biology