Best AI tools for< Historical Archivist >

Image Colorizer is an AI-powered photo editing tool that allows users to colorize, restore, enhance, retouch, and repair old photos. It uses advanced AI technology to automatically and instantly restore old photos, bringing them back to life. The tool is easy to use and offers a wide range of features to help users improve and restore their old pictures.

The AI History Timeline Generator is an advanced online tool that utilizes AI technology to help users create customized timelines for historical events. Whether you are a student, educator, researcher, or history enthusiast, this tool offers a personalized history learning experience by organizing and displaying the progression of historical occurrences. It simplifies the exploration and understanding of history by generating detailed history event timelines based on the input of names of individuals, companies, countries, or organizations.

MyHeritage is an online family history website that allows users to build family trees, search historical records, and take DNA tests. The website has a large database of historical records, including birth, marriage, and death certificates, as well as census records and immigration records. MyHeritage also offers a variety of tools to help users build their family trees, including a search engine, a record matching tool, and a collaboration tool. The website also offers a variety of DNA tests, including a basic ancestry test, a health and ancestry test, and a mitochondrial DNA test. MyHeritage is a valuable resource for anyone who is interested in learning more about their family history.

Face Photo Restorer is an AI-powered application designed to restore old and blurry face photos for users. With over 470,000 happy users worldwide, the tool uses advanced AI technology to bring old memories back to life by enhancing and restoring the quality of photos. The application is 100% free to use and offers a user-friendly experience for individuals looking to preserve and enhance their precious photographs. Face Photo Restorer is powered by cutting-edge AI algorithms and has gained popularity for its ability to transform blurred photos into sharp, high-quality images.

PhotoRestore.io is a free AI photo restoration service that specializes in restoring old or damaged photos. Using state-of-the-art algorithms, the platform can repair blurry, faded, and damaged photos to provide clear, high-quality images. PhotoRestore.io aims to bring faded memories back to life and help users preserve their precious moments. The service prioritizes user privacy and data security, offering a seamless experience for restoring photos and creating lasting keepsakes for generations to come.

Kolorize is an AI-powered online tool that specializes in photo colorization, transforming black-and-white images into vibrant, colorful masterpieces. With advanced AI technology, users can easily upload their photos, apply the AI magic, preview the colorized results, and download the final images. Kolorize ensures precision colorization, unlimited trials until satisfaction, data security with encrypted connections, and a user-friendly experience to revive old memories in true colors.

Face Photo Restorer is an AI-powered image restoration tool that is designed to restore old and blurry photos to their former glory. With over 63,532 happy customers worldwide, this tool has gained popularity for its ability to fix blurry images and enhance memories. The service is free and accessible to everyone, offering a simple solution to improve the quality of old photographs. Users can upload their photos and witness the magic of AI technology transforming them into sharp and clear images. The tool is praised for its user-friendly design and functionality, making it a go-to choice for individuals looking to preserve and enhance their precious memories.

AI Photo Restorer is a free online tool that uses artificial intelligence to restore and enhance old, faded, or damaged photos. It can upscale images up to 4x resolution, remove scratches and blemishes, and enhance facial features. The tool is easy to use and can be accessed from any device with an internet connection.

AI Color is an AI tool designed to help users colorize old black and white photos effortlessly. By leveraging the power of artificial intelligence, this application allows users to bring their memories to life by adding color to their vintage photographs. The tool is user-friendly and provides a seamless experience for transforming monochrome images into vibrant colored ones. AI Color is a reliable solution for individuals looking to enhance and preserve their precious memories through the magic of AI technology.

Colorizethis.io is an AI-powered application that specializes in colorizing old black-and-white photos, bringing them to life in vibrant colors. The platform offers professional image colorization technology previously only available to image labs, allowing users to transform cherished memories into high-quality 8k color photos. With cutting-edge AI algorithms trained on billions of images, Colorizethis.io provides users with the opportunity to revive old family portraits, vacation snapshots, and nostalgic childhood images with brilliant hues, preserving history and creating colorful masterpieces. The service ensures privacy by processing data onsite and deleting all information after 48 hours, offering users peace of mind while enjoying the benefits of advanced image colorization technology.

Face Photo Restorer is an AI-powered tool designed to restore old and blurry face photos using advanced artificial intelligence technology. With over 470,000 happy users worldwide, the tool aims to help users preserve their precious memories by enhancing and restoring their photos. Face Photo Restorer is a free and user-friendly application that leverages AI algorithms to bring new life to old photographs, making them clearer and more vibrant. The tool is highly praised for its efficiency and effectiveness in photo restoration, making it a popular choice among individuals looking to revive their nostalgic images.

Deep Nostalgia AI is an advanced AI platform that transforms old photos into lifelike videos. Using cutting-edge machine learning algorithms, the application animates faces in photos, creating realistic movements and expressions to bring cherished memories to life. With a free version available for limited usage and premium plans for additional features, Deep Nostalgia AI offers a seamless and emotionally engaging experience for users looking to animate their old photos effortlessly.

Automated Combat is an AI-powered platform that showcases historical figure debates and discussions, all powered by GPT-4. Users can select from a range of historical figures and characters to witness engaging and educational conversations. The platform offers a unique and entertaining way to explore historical perspectives and ideologies through AI-generated dialogues.

Hello History is an AI-powered application that allows users to engage in life-like conversations with historical figures. The app aims to transform the way history is learned by providing an immersive and educational experience through AI-generated interactions with influential personalities from the past. With state-of-the-art AI technology, Hello History offers users the opportunity to explore various topics, gain new insights, and enhance their knowledge in a unique and engaging way.

Automated Combat is an AI-powered platform that allows users to witness historical figures engage in thought-provoking debates and discussions. Users can choose from a variety of historical figures and characters, and watch as they engage in lively conversations that are both educational and entertaining.

Super Time Travel is an AI tool developed by AE Studio that allows users to upload photos and discover how they would look in any time period. The tool provides a novel form of entertainment where people can creatively engage with their own photos, imagining how they might look in different historical periods or futuristic scenarios. AE Studio is a development, data science, and design studio that works closely with founders and executives to create custom software, machine learning, and BCI solutions.

Travelicious is a user-friendly app that transforms how you experience cities. By integrating AI with your travel preferences, Travelicious creates personalized itineraries that promise authentic adventures, hidden gems, and the best culinary delights. Simply enter your destination, dates, budget, and interests, and Travelicious will recommend a personalized journey just for you.

Pix Ai Video is an AI-powered video editing tool that offers a range of features to enhance and customize your videos. With advanced algorithms, it provides automated editing options such as object removal, background replacement, and color correction. The tool is user-friendly and suitable for both beginners and professionals in the video editing field. Pix Ai Video simplifies the editing process and helps users create high-quality videos with ease.

Fintwit is an AI-powered stock market analysis tool that provides users with stock market quotes, free screener, AI top picks, AI stock analysis, market news, and trading signals. The platform leverages artificial intelligence to offer valuable insights and recommendations to investors and traders. With Fintwit, users can access real-time data, make informed investment decisions, and stay updated on the latest market trends.

FareTrack is an AI-driven data intelligence solution tailored for the modern air travel industry. It offers accurate, timely, and actionable insights for airline revenue management, distribution, and network operations teams. By leveraging advanced AI technology, FareTrack empowers clients with competitive fare tracking, ancillary pricing insights, open pricing monitoring, and price rank value optimization. The platform also provides comprehensive travel data solutions beyond airfare, including tax breakdowns, historical fare analysis, and trend analysis. With customizable dashboards and API integration, FareTrack enables users to make informed decisions swiftly and stay ahead in the dynamic world of air travel.

The W3C Cognitive AI Community Group focuses on advancing Cognitive AI through collaboration on defining use cases, open source implementations, and application areas. The group aims to demonstrate the potential of Cognitive AI in various domains such as customer services, healthcare, cybersecurity, online learning, autonomous vehicles, manufacturing, and web search. They work on formal specifications for chunk data and rules, plausible knowledge notation, and neural networks for human-like AI. The group positions Cognitive AI as a combination of symbolic and statistical approaches inspired by human thought processes. They address research challenges including mimicry, emotional intelligence, natural language processing, and common sense reasoning. The long-term goal is to develop cognitive agents that are knowledgeable, creative, collaborative, empathic, and multilingual, capable of continual learning and self-awareness.

llmgraph is a tool that enables users to create knowledge graphs in GraphML, GEXF, and HTML formats by extracting world knowledge from large language models (LLMs) like ChatGPT. It supports various entity types and relationships, offers cache support for efficient graph growth, and provides insights into LLM costs. Users can customize the model used and interact with different LLM providers. The tool allows users to generate interactive graphs based on a specified entity type and Wikipedia link, making it a valuable resource for knowledge graph creation and exploration.

Kaytu is an AI platform that enhances cloud efficiency by analyzing historical usage data and providing intelligent recommendations for optimizing instance sizes. Users can pay for only what they need without compromising the performance of their applications. The platform is easy to use with a one-line command, allows customization for specific requirements, and ensures security by extracting metrics from the client side. Kaytu is open-source and supports AWS services, with plans to expand to GCP, Azure, GPU optimization, and observability data from Prometheus in the future.

Arcana is a plugin for Obsidian that offers a collection of AI-powered tools inspired by famous historical figures to enhance creativity and productivity. It includes tools for conversation, text-to-speech transcription, speech-to-text replies, metadata markup, text generation, file moving, flashcard generation, auto tagging, and note naming. Users can interact with these tools using the command palette and sidebar views, with an OpenAI API key required for usage. The plugin aims to assist users in various note-taking and knowledge management tasks within the Obsidian vault environment.

The Classical Language Toolkit (CLTK) is a Python library that provides natural language processing (NLP) capabilities for pre-modern languages. It offers a modular processing pipeline with pre-configured defaults and supports almost 20 languages. Users can install the latest version using pip and access detailed documentation on the official website. The toolkit is designed to meet the unique needs of researchers working with historical languages, filling a void in the NLP landscape that often neglects non-spoken languages and different research goals.

finagg is a Python package that provides implementations of popular and free financial APIs, tools for aggregating historical data from those APIs into SQL databases, and tools for transforming aggregated data into features useful for analysis and AI/ML. It offers documentation, installation instructions, and basic usage examples for exploring various financial APIs and features. Users can install recommended datasets from 3rd party APIs into a local SQL database, access Bureau of Economic Analysis (BEA) data, Federal Reserve Economic Data (FRED), Securities and Exchange Commission (SEC) filings, and more. The package also allows users to explore raw data features, install refined data features, and perform refined aggregations of raw data. Configuration options for API keys, user agents, and data locations are provided, along with information on dependencies and related projects.

ReEdgeGPT is a tool designed for reverse engineering the chat feature of the new version of Bing. It provides documentation and guidance on how to collect and use cookies to access the chat feature. The tool allows users to create a chatbot using the collected cookies and interact with the Bing GPT chatbot. It also offers support for different modes like Copilot and Bing, along with plugins for various tasks. The tool covers historical information about Rome, the Lazio region, and provides troubleshooting tips for common issues encountered while using the tool.

AI4DBCode is a repository that is no longer actively maintained. It likely contains code related to artificial intelligence for databases. Users can explore the existing codebase for reference or historical purposes, but should be aware that updates and support are no longer provided.

API Improvement Proposals (AIPs) are design documents that provide high-level, concise documentation for API development at Google. The goal of AIPs is to serve as the source of truth for API-related documentation and to facilitate discussion and consensus among API teams. AIPs are similar to Python's enhancement proposals (PEPs) and are organized into different areas within Google to accommodate historical differences in customs, styles, and guidance.

Chronos is a family of pretrained time series forecasting models based on language model architectures. A time series is transformed into a sequence of tokens via scaling and quantization, and a language model is trained on these tokens using the cross-entropy loss. Once trained, probabilistic forecasts are obtained by sampling multiple future trajectories given the historical context. Chronos models have been trained on a large corpus of publicly available time series data, as well as synthetic data generated using Gaussian processes.

LMDeploy is a toolkit for compressing, deploying, and serving LLM, developed by the MMRazor and MMDeploy teams. It has the following core features: * **Efficient Inference** : LMDeploy delivers up to 1.8x higher request throughput than vLLM, by introducing key features like persistent batch(a.k.a. continuous batching), blocked KV cache, dynamic split&fuse, tensor parallelism, high-performance CUDA kernels and so on. * **Effective Quantization** : LMDeploy supports weight-only and k/v quantization, and the 4-bit inference performance is 2.4x higher than FP16. The quantization quality has been confirmed via OpenCompass evaluation. * **Effortless Distribution Server** : Leveraging the request distribution service, LMDeploy facilitates an easy and efficient deployment of multi-model services across multiple machines and cards. * **Interactive Inference Mode** : By caching the k/v of attention during multi-round dialogue processes, the engine remembers dialogue history, thus avoiding repetitive processing of historical sessions.

DB-GPT is a personal database administrator that can solve database problems by reading documents, using various tools, and writing analysis reports. It is currently undergoing an upgrade. **Features:** * **Online Demo:** * Import documents into the knowledge base * Utilize the knowledge base for well-founded Q&A and diagnosis analysis of abnormal alarms * Send feedbacks to refine the intermediate diagnosis results * Edit the diagnosis result * Browse all historical diagnosis results, used metrics, and detailed diagnosis processes * **Language Support:** * English (default) * Chinese (add "language: zh" in config.yaml) * **New Frontend:** * Knowledgebase + Chat Q&A + Diagnosis + Report Replay * **Extreme Speed Version for localized llms:** * 4-bit quantized LLM (reducing inference time by 1/3) * vllm for fast inference (qwen) * Tiny LLM * **Multi-path extraction of document knowledge:** * Vector database (ChromaDB) * RESTful Search Engine (Elasticsearch) * **Expert prompt generation using document knowledge** * **Upgrade the LLM-based diagnosis mechanism:** * Task Dispatching -> Concurrent Diagnosis -> Cross Review -> Report Generation * Synchronous Concurrency Mechanism during LLM inference * **Support monitoring and optimization tools in multiple levels:** * Monitoring metrics (Prometheus) * Flame graph in code level * Diagnosis knowledge retrieval (dbmind) * Logical query transformations (Calcite) * Index optimization algorithms (for PostgreSQL) * Physical operator hints (for PostgreSQL) * Backup and Point-in-time Recovery (Pigsty) * **Continuously updated papers and experimental reports** This project is constantly evolving with new features. Don't forget to star ⭐ and watch 👀 to stay up to date.

CPP-Notes is a comprehensive repository providing detailed insights into the history, evolution, and modern development of the C++ programming language. It covers the foundational concepts of C++ and its transition from C, highlighting key features such as object-oriented programming, generic programming, and modern enhancements introduced in C++11/14/17. The repository delves into the significance of C++ in system programming, library development, and its role as a versatile and efficient language. It explores the historical milestones of C++ development, from its inception in 1979 by Bjarne Stroustrup to the latest C++20 standard, showcasing major advancements like Concepts, Ranges library, Coroutines, Modules, and enhanced concurrency features.

Athina is an open-source library designed to help engineers improve the reliability and performance of Large Language Models (LLMs) through eval-driven development. It offers plug-and-play preset evals for catching and preventing bad outputs, measuring model performance, running experiments, A/B testing models, detecting regressions, and monitoring production data. Athina provides a solution to the flaws in current LLM developer workflows by offering rapid experimentation, customizable evaluators, integrated dashboard, consistent metrics, historical record tracking, and easy setup. It includes preset evaluators for RAG applications and summarization accuracy, as well as the ability to write custom evals. Athina's evals can run on both development and production environments, providing consistent metrics and removing the need for manual infrastructure setup.

Anima is the first open-source 33B Chinese large language model based on QLoRA, supporting DPO alignment training and open-sourcing a 100k context window model. The latest update includes AirLLM, a library that enables inference of 70B LLM from a single GPU with just 4GB memory. The tool optimizes memory usage for inference, allowing large language models to run on a single 4GB GPU without the need for quantization or other compression techniques. Anima aims to democratize AI by making advanced models accessible to everyone and contributing to the historical process of AI democratization.

Generative BI using RAG on AWS is a comprehensive framework designed to enable Generative BI capabilities on customized data sources hosted on AWS. It offers features such as Text-to-SQL functionality for querying data sources using natural language, user-friendly interface for managing data sources, performance enhancement through historical question-answer ranking, and entity recognition. It also allows customization of business information, handling complex attribution analysis problems, and provides an intuitive question-answering UI with a conversational approach for complex queries.

This repository contains a minimal, clean code implementation of the Byte Pair Encoding (BPE) algorithm, commonly used in LLM tokenization. The BPE algorithm is "byte-level" because it runs on UTF-8 encoded strings. This algorithm was popularized for LLMs by the GPT-2 paper and the associated GPT-2 code release from OpenAI. Sennrich et al. 2015 is cited as the original reference for the use of BPE in NLP applications. Today, all modern LLMs (e.g. GPT, Llama, Mistral) use this algorithm to train their tokenizers. There are two Tokenizers in this repository, both of which can perform the 3 primary functions of a Tokenizer: 1) train the tokenizer vocabulary and merges on a given text, 2) encode from text to tokens, 3) decode from tokens to text. The files of the repo are as follows: 1. minbpe/base.py: Implements the `Tokenizer` class, which is the base class. It contains the `train`, `encode`, and `decode` stubs, save/load functionality, and there are also a few common utility functions. This class is not meant to be used directly, but rather to be inherited from. 2. minbpe/basic.py: Implements the `BasicTokenizer`, the simplest implementation of the BPE algorithm that runs directly on text. 3. minbpe/regex.py: Implements the `RegexTokenizer` that further splits the input text by a regex pattern, which is a preprocessing stage that splits up the input text by categories (think: letters, numbers, punctuation) before tokenization. This ensures that no merges will happen across category boundaries. This was introduced in the GPT-2 paper and continues to be in use as of GPT-4. This class also handles special tokens, if any. 4. minbpe/gpt4.py: Implements the `GPT4Tokenizer`. This class is a light wrapper around the `RegexTokenizer` (2, above) that exactly reproduces the tokenization of GPT-4 in the tiktoken library. The wrapping handles some details around recovering the exact merges in the tokenizer, and the handling of some unfortunate (and likely historical?) 1-byte token permutations. Finally, the script train.py trains the two major tokenizers on the input text tests/taylorswift.txt (this is the Wikipedia entry for her kek) and saves the vocab to disk for visualization. This script runs in about 25 seconds on my (M1) MacBook. All of the files above are very short and thoroughly commented, and also contain a usage example on the bottom of the file.

Chronon is a platform that simplifies and improves ML workflows by providing a central place to define features, ensuring point-in-time correctness for backfills, simplifying orchestration for batch and streaming pipelines, offering easy endpoints for feature fetching, and guaranteeing and measuring consistency. It offers benefits over other approaches by enabling the use of a broad set of data for training, handling large aggregations and other computationally intensive transformations, and abstracting away the infrastructure complexity of data plumbing.

LegacyLink GPT is an innovative digital platform engineered to foster connections across generations through the power of storytelling. This AI-assisted application empowers families to document, share, and preserve their unique histories, memories, and wisdom in an engaging and accessible manner.

A tool for historians to analyze and catalog historical images and documents.

A GPT specializing in historical primary source analysis

Transcribes old and historical writings into digital text.

Guides through analyzing photographs as historical objects.

In-depth analysis of historical events

A for fun project that. Converts dates to BCGPT/ACGPT format, giving a unique historical perspective.

guess the era of the image!

Focuses on pioneers of the cable TV industry.

A knowledgeable and insightful history guide and mentor.

Guide sur l'Histoire de France pour les écoliers, les étudiants, et les autres!

Comprehensive U.S. history guide with a teacher-like tone.

Digitizes handwritten texts and offers output as a PDF file.

Historian of US Military and Veteran's Day

Expert in British baseball history, sourcing from projectcobb.org.uk and the internet

Educates on historical genocides, emphasizing classical liberal values

日本の教育と情報の歴史専門

Complex, intricate expert on Advent calendar history.

A look back at past events.

Adaptive explainer of U.S. declassified docs, open and engaging.