AI tools for Atomic Mail
Related Tools:
BugFree.ai
BugFree.ai is an AI-powered platform designed to help users practice system design and behavior interviews, similar to Leetcode. The platform offers a range of features to assist users in preparing for technical interviews, including mock interviews, real-time feedback, and personalized study plans. With BugFree.ai, users can improve their problem-solving skills and gain confidence in tackling complex interview questions.
Atomic Habits GPT
Atomic Habits GPT is an interactive AI-powered book summary tool offered by GPT Book Club. It provides users with the ability to ask questions and receive book-sourced answers, helping them uncover the power of knowledge. The tool offers features such as chapter summaries, stellar quotes, real-life scenarios, and more, all aimed at enhancing the reading experience. With a focus on self-discipline and personal development, Atomic Habits GPT is designed to assist users in building better habits and achieving their goals.
Atomic Inputs
Atomic Inputs is a modern customer feedback solution that leverages AI technology to collect, analyze, and transform customer feedback into actionable insights. The platform offers social media-integrated surveys, expertly crafted templates, visual analytics, and AI-powered recommendations to enhance customer experience. With features like customizable engagement, transparent pricing, and seamless integration with popular platforms, Atomic Inputs simplifies feedback collection and business metrics interpretation. The application caters to businesses of all sizes, providing tailored solutions for growth and enterprise needs.
scatteredNote
scatteredNote is an AI-powered note-taking application designed to help users effortlessly grab content and take notes while focusing on their main tasks. The application aims to make note-taking a seamless by-product of the user's main activities, ensuring minimal distraction. With features like Atomic Embrace mental model, Extended memory with AI integration, and simple UI, scatteredNote offers a user-friendly experience for organizing and accessing archived knowledge. The application supports various capture modes, including YouTube Capture, VS-Code Capture, Web-mode Capture, and Pdf-mode capture, along with AI chat and Ai-space repetition functionalities. Users can easily organize their notes, create flashcards, and access information quickly with the help of AI technology.
GPT Book Club
GPT Book Club is an AI-powered platform designed for book lovers who wish to stay updated on the latest literary trends without having to read every book. Users can interact with AI-generated guides and explore a wide range of book recommendations. The platform aims to provide a convenient and efficient way for users to discover new books and enhance their reading experience.
Atomico
Atomico is an AI-first CRM platform that facilitates communication between businesses and their customers across various channels. The platform aims to simplify interactions with businesses by providing a seamless and contextual communication experience. Atomico focuses on empowering workers and enhancing productivity through digital transformation, leveraging technology to drive innovation in various industries.
ElementGPT
Explore the fascinating world of elements with in-depth insights on chemistry, periodic table, and elemental properties. Dive into our comprehensive guide for a deeper understanding of the elements' significance in science and everyday life.
What Ifs?
Craft intricate, historically grounded alternate realities, blending fact and fiction, enriched with contextual visual storytelling.
ADvisor (アトピー性的皮膚炎アドバイザー)
Expert on Atopic Dermatitis research, focusing on scientifically validated information.
Zettelgarden
Zettelgarden is a human-centric, open-source personal knowledge management system that helps users develop and maintain their understanding of the world. It focuses on creating and connecting atomic notes, thoughtful AI integration, and scalability from personal notes to company knowledge bases. The project is actively evolving, with features subject to change based on community feedback and development priorities.
Awesome-European-Tech
Awesome European Tech is an up-to-date list of recommended European projects and companies curated by the community to support and strengthen the European tech ecosystem. It focuses on privacy and sustainability, showcasing companies that adhere to GDPR compliance and sustainability standards. The project aims to highlight and support European startups and projects excelling in privacy, sustainability, and innovation to contribute to a more diverse, resilient, and interconnected global tech landscape.
aiocoap
aiocoap is a Python library that implements the Constrained Application Protocol (CoAP) using native asyncio methods in Python 3. It supports various CoAP standards such as RFC7252, RFC7641, RFC7959, RFC8323, RFC7967, RFC8132, RFC9176, RFC8613, and draft-ietf-core-oscore-groupcomm-17. The library provides features for clients and servers, including multicast support, blockwise transfer, CoAP over TCP, TLS, and WebSockets, No-Response, PATCH/FETCH, OSCORE, and Group OSCORE. It offers an easy-to-use interface for concurrent operations and is suitable for IoT applications.
ai-collection
The ai-collection repository is a collection of various artificial intelligence projects and tools aimed at helping developers and researchers in the field of AI. It includes implementations of popular AI algorithms, datasets for training machine learning models, and resources for learning AI concepts. The repository serves as a valuable resource for anyone interested in exploring the applications of artificial intelligence in different domains.
AI2BMD
AI2BMD is a program for efficiently simulating protein molecular dynamics with ab initio accuracy. The repository contains datasets, simulation programs, and public materials related to AI2BMD. It provides a Docker image for easy deployment and a standalone launcher program. Users can run simulations by downloading the launcher script and specifying simulation parameters. The repository also includes ready-to-use protein structures for testing. AI2BMD is designed for x86-64 GNU/Linux systems with recommended hardware specifications. The related research includes model architectures like ViSNet, Geoformer, and fine-grained force metrics for MLFF. Citation information and contact details for the AI2BMD Team are provided.
exospherehost
Exosphere is an open source infrastructure designed to run AI agents at scale for large data and long running flows. It allows developers to define plug and playable nodes that can be run on a reliable backbone in the form of a workflow, with features like dynamic state creation at runtime, infinite parallel agents, persistent state management, and failure handling. This enables the deployment of production agents that can scale beautifully to build robust autonomous AI workflows.
blog
This repository contains a simple blog application built using Python and Flask framework. It allows users to create, read, update, and delete blog posts. The application uses SQLite database for storing blog data and provides a basic user interface for interacting with the blog. The code is well-organized and easy to understand, making it suitable for beginners looking to learn web development with Python and Flask.
awesome-mcp-servers
Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that enable AI models to securely interact with local and remote resources through standardized server implementations. The list includes production-ready and experimental servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.
promptulate
**Promptulate** is an AI Agent application development framework crafted by **Cogit Lab** , which offers developers an extremely concise and efficient way to build Agent applications through a Pythonic development paradigm. The core philosophy of Promptulate is to borrow and integrate the wisdom of the open-source community, incorporating the highlights of various development frameworks to lower the barrier to entry and unify the consensus among developers. With Promptulate, you can manipulate components like LLM, Agent, Tool, RAG, etc., with the most succinct code, as most tasks can be easily completed with just a few lines of code. 🚀
Scientific-LLM-Survey
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.
hub
Hub is an open-source, high-performance LLM gateway written in Rust. It serves as a smart proxy for LLM applications, centralizing control and tracing of all LLM calls and traces. Built for efficiency, it provides a single API to connect to any LLM provider. The tool is designed to be fast, efficient, and completely open-source under the Apache 2.0 license.
atomic_agents
Atomic Agents is a modular and extensible framework designed for creating powerful applications. It follows the principles of Atomic Design, emphasizing small and single-purpose components. Leveraging Pydantic for data validation and serialization, the framework offers a set of tools and agents that can be combined to build AI applications. It depends on the Instructor package and supports various APIs like OpenAI, Cohere, Anthropic, and Gemini. Atomic Agents is suitable for developers looking to create AI agents with a focus on modularity and flexibility.
atomic-agents
The Atomic Agents framework is a modular and extensible tool designed for creating powerful applications. It leverages Pydantic for data validation and serialization. The framework follows the principles of Atomic Design, providing small and single-purpose components that can be combined. It integrates with Instructor for AI agent architecture and supports various APIs like Cohere, Anthropic, and Gemini. The tool includes documentation, examples, and testing features to ensure smooth development and usage.
x
Ant Design X is a tool for crafting AI-driven interfaces effortlessly. It is built on the best practices of enterprise-level AI products, offering flexible and diverse atomic components for various AI dialogue scenarios. The tool provides out-of-the-box model integration with inference services compatible with OpenAI standards. It also enables efficient management of conversation data flows, supports rich template options, complete TypeScript support, and advanced theme customization. Ant Design X is designed to enhance development efficiency and deliver exceptional AI interaction experiences.
airswap-protocols
AirSwap Protocols is a repository containing smart contracts for developers and traders on the AirSwap peer-to-peer trading network. It includes various packages for functionalities like server registry, atomic token swap, staking, rewards pool, batch token and order calls, libraries, and utils. The repository follows a branching and release process for contracts and tools, with steps for regular development process and individual package features or patches. Users can deploy and verify contracts using specific commands with network flags.
how-to-optim-algorithm-in-cuda
This repository documents how to optimize common algorithms based on CUDA. It includes subdirectories with code implementations for specific optimizations. The optimizations cover topics such as compiling PyTorch from source, NVIDIA's reduce optimization, OneFlow's elementwise template, fast atomic add for half data types, upsample nearest2d optimization in OneFlow, optimized indexing in PyTorch, OneFlow's softmax kernel, linear attention optimization, and more. The repository also includes learning resources related to deep learning frameworks, compilers, and optimization techniques.