Best AI tools for< Edit Academic Paper >

My Perfect Essays is an AI-powered essay writing service that offers a comprehensive solution for effortless essay composition. With a team of over 200 writing experts, the platform provides custom essay services using AI technology to ensure 100% plagiarism-free papers. Students can access 24/7 customer support and benefit from a 100% money-back guarantee. My Perfect Essays simplifies the essay ordering process and offers a range of services for various academic levels and document types. The platform is trusted by over 30,000 students and provides a user-friendly experience for ordering essays and accessing top writers.

Scribbr.com is an online platform that offers academic proofreading and editing services for students and academics. The website helps users improve the quality of their academic papers by providing professional editing and feedback. Scribbr.com aims to assist users in enhancing their writing skills and academic performance by offering personalized feedback and suggestions. The platform is designed to support users in achieving their academic goals by providing high-quality editing services and educational resources.

Editage is a professional editing, translation, and publication support services company that enables academicians, researchers, scientists, and authors worldwide to publish their work in the best light. Over the past two decades, Editage has helped 500,000+ researchers across 192+ countries to pursue successful publications. The goal is to help researchers improve the quality of their research and increase their chances of publication in international indexed journals.

Aithor.com is an advanced AI content creation tool designed for writing and paraphrasing essays and papers online. It offers features such as Topic Finder, Outline Creator, Paper Wizard, and AI Co-Writer to assist users in creating academic content. Aithor ensures consistent on-brand messaging and provides personalized papers in minutes, helping users save time and enhance their writing skills.

Yomu is an AI-powered writing assistant designed to help users with academic writing tasks such as writing essays and papers. It offers features like an intelligent Document Assistant, AI autocomplete, paper editing tools, citation tool, plagiarism checker, and more. Yomu aims to simplify the academic writing process by providing AI-powered assistance to enhance writing quality and originality.

Yomu AI is an AI-powered writing assistant designed to help users write better essays, papers, and academic writing. It offers features such as an intelligent Document Assistant, AI autocomplete, paper editing tools, citation tool, plagiarism checker, and more. Yomu aims to simplify academic writing, enhance productivity, and ensure originality and authenticity in the users' work.

Jenni is an AI-powered text editor that helps you write, edit, and cite with confidence. It offers a range of features to enhance your research and writing capabilities, including autocomplete, in-text citations, paraphrasing, and a reference library. Trusted by universities and businesses worldwide, Jenni has helped over 3 million academics write over 970 million words.

AI Essay Writer is a free online tool that helps users generate high-quality essays quickly and efficiently. The tool uses artificial intelligence algorithms to analyze the given topic, research relevant information, and create well-structured essays. Users can input their essay prompts or topics, and the AI Essay Writer will generate a well-written essay with proper grammar and coherence. This tool is beneficial for students, writers, and professionals looking to save time and improve their writing skills.

EssayFlow is a free AI essay writer that helps students and academics write high-quality essays. It offers a range of features to make essay writing easier, including a plagiarism checker, grammar checker, and auto-completion tool. EssayFlow also provides access to a large database of academic resources, making it easy to find relevant and credible sources for your essays.

The website is currently under development and will soon launch an improved bio generator. Users can expect an exciting new tool that will help generate biographies efficiently. Stay tuned for updates on this upcoming feature.

Readable is an AI tool that instantly translates PDF files. It allows users to upload English PDF files and translate them into Japanese while maintaining the original layout. The translation is completed in just 30 seconds. Readable Pro offers features such as bulk translation, one-click translation using a Chrome extension, fast translation process, unlimited translation times, and easy translation without the need to paste text from DeepL. The tool is recommended for those who want to translate documents in bulk and offers a user-friendly experience.

AiText is an AI-powered writing assistant that enhances the quality of texts, corrects spelling and grammar errors, and generates new texts effortlessly. It offers a range of features including vocabulary enhancement, sentence structure optimization, grammar and spell checking, and text generation. The application is versatile and can be used for various purposes such as creating social media posts, emails, articles, reports, and professional documents. It is designed to improve communication clarity, accelerate writing tasks, and enhance writing skills for academic and professional pursuits.

basebox is an AI application designed to provide secure and efficient AI solutions for businesses across various industries. It offers a range of features such as secure text editing, data extraction from PDFs and Excel documents, academic text summarization, multilingual translation, and blog post creation. With a focus on data privacy and security, basebox ensures end-to-end encryption, GDPR compliance, and hosting in Europe. The application is user-friendly, requiring no technical expertise for setup, and offers transparent pricing based on actual usage.

AI Checker is a free online tool that uses advanced artificial intelligence technology to detect AI-generated content. It can accurately identify text written by ChatGPT, Bard, and GPT-4, even when the text is carefully crafted to avoid detection. This AI writing checker works by analyzing the writing style and sentence structure. It looks for patterns that are commonly found in AI-generated content, such as repetitive phrases, vocabulary, keywords, academic language, and grammar errors. Our AI detector analyzes the text and provides a percentage score indicating the likelihood of AI writing similarity. A score of 100% means that the text is almost certainly AI-generated, while a score of 0% means that it is almost certainly human-written.

Edit-Videos-Online.com is a free online video editor that allows users to edit and create videos without the need for registration or software installation. It supports a wide range of popular video formats and offers a variety of features such as video trimming, background removal, automatic caption generation, text and image addition, and audio editing. The editor is easy to use and provides a seamless video editing experience for both novices and experts.

Edit on the Spot is an automated video editing tool designed for events and online creators. It utilizes AI technology to streamline the video editing process, making it faster, easier, and more efficient. The tool allows users to edit videos in real-time, eliminating the need for manual editing tasks such as downloading, ingesting, and moving files between editing tools. With features like automatic trimming, AI-powered editing, custom branding, and instant delivery, Edit on the Spot aims to revolutionize the video editing industry by providing a hands-off approach to content creation.

Million Dollar Edit 2.0 is an AI-powered editing tool that helps you write and edit faster and more efficiently. With its advanced AI algorithms, Million Dollar Edit 2.0 can help you identify and correct errors, improve your writing style, and even generate new content. Whether you're a student, a professional writer, or anyone who wants to improve their writing skills, Million Dollar Edit 2.0 can help you take your writing to the next level.

Fotor is a free online photo editor that offers a wide range of features for editing and enhancing photos. With Fotor, you can crop, resize, adjust lighting and color, add filters and effects, and more. Fotor also offers a variety of AI-powered tools, such as AI Photo Enhancer, AI Background Remover, and AI Object Remover. These tools can help you to improve the quality of your photos, remove unwanted objects, and create stunning photo effects.

Picsart is a free online photo editor and collage maker that allows users to edit photos, create collages, and add effects. It is a popular tool for both professional and amateur photographers, and it is also used by businesses to create marketing materials. Picsart is available as a web application, a desktop application, and a mobile app.

Filmora is an easy-to-use video editing software that is powered by AI. It offers a wide range of features, including AI-powered editing tools, templates, and resources. Filmora is perfect for beginners and experienced video editors alike. With Filmora, you can create professional-looking videos quickly and easily.

Fabric is an open-source framework for augmenting humans using AI. It provides a structured approach to breaking down problems into individual components and applying AI to them one at a time. Fabric includes a collection of pre-defined Patterns (prompts) that can be used for a variety of tasks, such as extracting the most interesting parts of YouTube videos and podcasts, writing essays, summarizing academic papers, creating AI art prompts, and more. Users can also create their own custom Patterns. Fabric is designed to be easy to use, with a command-line interface and a variety of helper apps. It is also extensible, allowing users to integrate it with their own AI applications and infrastructure.

A curated list of Generative AI projects, tools, artworks, and models

Yet Another Applied LLM Benchmark is a collection of diverse tests designed to evaluate the capabilities of language models in performing real-world tasks. The benchmark includes tests such as converting code, decompiling bytecode, explaining minified JavaScript, identifying encoding formats, writing parsers, and generating SQL queries. It features a dataflow domain-specific language for easily adding new tests and has nearly 100 tests based on actual scenarios encountered when working with language models. The benchmark aims to assess whether models can effectively handle tasks that users genuinely care about.

Awesome AI Tools is a curated list of popular tools and resources for artificial intelligence enthusiasts. It includes a wide range of tools such as machine learning libraries, deep learning frameworks, data visualization tools, and natural language processing resources. Whether you are a beginner or an experienced AI practitioner, this repository aims to provide you with a comprehensive collection of tools to enhance your AI projects and research. Explore the list to discover new tools, stay updated with the latest advancements in AI technology, and find the right resources to support your AI endeavors.

Awesome Generative AI is a curated list of modern Generative Artificial Intelligence projects and services. Generative AI technology creates original content like images, sounds, and texts using machine learning algorithms trained on large data sets. It can produce unique and realistic outputs such as photorealistic images, digital art, music, and writing. The repo covers a wide range of applications in art, entertainment, marketing, academia, and computer science.

TigerGraph CoPilot is an AI assistant that combines graph databases and generative AI to enhance productivity across various business functions. It includes three core component services: InquiryAI for natural language assistance, SupportAI for knowledge Q&A, and QueryAI for GSQL code generation. Users can interact with CoPilot through a chat interface on TigerGraph Cloud and APIs. CoPilot requires LLM services for beta but will support TigerGraph's LLM in future releases. It aims to improve contextual relevance and accuracy of answers to natural-language questions by building knowledge graphs and using RAG. CoPilot is extensible and can be configured with different LLM providers, graph schemas, and LangChain tools.

AI-PhD-S24 is a mono-repo for the PhD course 'AI for Business Research' at CUHK Business School in Spring 2024. The course aims to provide a basic understanding of machine learning and artificial intelligence concepts/methods used in business research, showcase how ML/AI is utilized in business research, and introduce state-of-the-art AI/ML technologies. The course includes scribed lecture notes, class recordings, and covers topics like AI/ML fundamentals, DL, NLP, CV, unsupervised learning, and diffusion models.

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.

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.

Scientific Large Language Models (Sci-LLMs) is a repository that collects papers on scientific large language models, focusing on biology and chemistry domains. It includes textual, molecular, protein, and genomic languages, as well as multimodal language. The repository covers various large language models for tasks such as molecule property prediction, interaction prediction, protein sequence representation, protein sequence generation/design, DNA-protein interaction prediction, and RNA prediction. It also provides datasets and benchmarks for evaluating these models. The repository aims to facilitate research and development in the field of scientific language modeling.

This repository aims to promote global equality for individuals pursuing a PhD in NLP by providing resources and information on various aspects of the academic journey. It covers topics such as applying for a PhD, getting research opportunities, preparing for the job market, and succeeding in academia. The repository is actively updated and includes contributions from experts in the field.

Awesome-LLM is a curated list of resources related to large language models, focusing on papers, projects, frameworks, tools, tutorials, courses, opinions, and other useful resources in the field. It covers trending LLM projects, milestone papers, other papers, open LLM projects, LLM training frameworks, LLM evaluation frameworks, tools for deploying LLM, prompting libraries & tools, tutorials, courses, books, and opinions. The repository provides a comprehensive overview of the latest advancements and resources in the field of large language models.

This simple package can be used to fix an invalid json string. To know all cases in which this package will work, check out the unit test. Inspired by https://github.com/josdejong/jsonrepair Motivation Some LLMs are a bit iffy when it comes to returning well formed JSON data, sometimes they skip a parentheses and sometimes they add some words in it, because that's what an LLM does. Luckily, the mistakes LLMs make are simple enough to be fixed without destroying the content. I searched for a lightweight python package that was able to reliably fix this problem but couldn't find any. So I wrote one How to use from json_repair import repair_json good_json_string = repair_json(bad_json_string) # If the string was super broken this will return an empty string You can use this library to completely replace `json.loads()`: import json_repair decoded_object = json_repair.loads(json_string) or just import json_repair decoded_object = json_repair.repair_json(json_string, return_objects=True) Read json from a file or file descriptor JSON repair provides also a drop-in replacement for `json.load()`: import json_repair try: file_descriptor = open(fname, 'rb') except OSError: ... with file_descriptor: decoded_object = json_repair.load(file_descriptor) and another method to read from a file: import json_repair try: decoded_object = json_repair.from_file(json_file) except OSError: ... except IOError: ... Keep in mind that the library will not catch any IO-related exception and those will need to be managed by you Performance considerations If you find this library too slow because is using `json.loads()` you can skip that by passing `skip_json_loads=True` to `repair_json`. Like: from json_repair import repair_json good_json_string = repair_json(bad_json_string, skip_json_loads=True) I made a choice of not using any fast json library to avoid having any external dependency, so that anybody can use it regardless of their stack. Some rules of thumb to use: - Setting `return_objects=True` will always be faster because the parser returns an object already and it doesn't have serialize that object to JSON - `skip_json_loads` is faster only if you 100% know that the string is not a valid JSON - If you are having issues with escaping pass the string as **raw** string like: `r"string with escaping\"" Adding to requirements Please pin this library only on the major version! We use TDD and strict semantic versioning, there will be frequent updates and no breaking changes in minor and patch versions. To ensure that you only pin the major version of this library in your `requirements.txt`, specify the package name followed by the major version and a wildcard for minor and patch versions. For example: json_repair==0.* In this example, any version that starts with `0.` will be acceptable, allowing for updates on minor and patch versions. How it works This module will parse the JSON file following the BNF definition: ::= | ::= | | ; Where: ; is a valid real number expressed in one of a number of given formats ; is a string of valid characters enclosed in quotes ; is one of the literal strings 'true', 'false', or 'null' (unquoted) ::=