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Heartspace is an AI-powered platform that offers an autonomous AI researcher and writer named NirvanaAI. The platform aims to revolutionize the media industry by providing pre-made article summaries, news monitoring, and content creation services. NirvanaAI is designed to assist journalists and news organizations in automating news summaries, researching topics, and writing high-quality articles in a human-like tone. Heartspace ensures user privacy, ethical communication, and supports multiple languages. The platform is subscription-based, ad-free, GDPR compliant, and prioritizes responsible journalism.

Quick, Draw! is a game built with machine learning. You draw, and a neural network tries to guess what you're drawing. Of course, it doesn't always work. But the more you play with it, the more it will learn. So far we have trained it on a few hundred concepts, and we hope to add more over time. We made this as an example of how you can use machine learning in fun ways.

Golem is an AI chat application that provides a new ChatGPT experience. It offers a beautiful and user-friendly design, ensuring delightful interactions. Users can chat with a Large Language Model (LLM) securely, with data stored locally or on their personal cloud. Golem is open-source, allowing contributions and use as a reference for Nuxt 3 projects.

RejuveAI is a decentralized token-based system that aims to democratize longevity globally. The Longevity App allows users to take control of their health data, monitor essential metrics, and earn RJV tokens. The application leverages revolutionary AI technology to analyze human body functions in-depth, providing insights for combating aging. RejuveAI collaborates with researchers, clinics, and data enthusiasts to ensure affordable and accessible innovative outcomes. Users can unlock exclusive discounts on various services by accumulating RJV tokens.

IX Coach is an AI-powered interdisciplinary coaching platform that helps individuals and teams achieve their goals. The platform provides users with access to a network of certified coaches, as well as a variety of tools and resources to support their coaching journey.

Almaya is a digital autobiography platform that allows users to record and share their stories, advice, and life lessons with their loved ones. It is a safe and private way to preserve memories and connect with family and friends, both now and in the future. Almaya uses artificial intelligence to help users create a personalized and interactive autobiography that can be easily shared and accessed from anywhere, anytime.

GitHub is the world's leading AI-powered developer platform that offers a wide range of tools and features to enhance the developer experience. It provides automation for workflows, security features to find and fix vulnerabilities, instant development environments, AI-powered code assistance with GitHub Copilot, code review and management capabilities, issue tracking, collaboration tools, and more. GitHub empowers developers to accelerate innovation and collaborate efficiently, making it a go-to platform for individuals, teams, and organizations in the software development industry.

Emerge AI is an AI-driven wellness application that offers a unique experience by providing AI-generated digital companions to support users on their wellness journey. Through innovative NFT technology, users can earn tokens by achieving fitness milestones, contributing to the growth of their digital pets. The app also focuses on networking with friends to create a vibrant community around wellness and technology. With a comprehensive suite of features, Emerge AI aims to empower users in achieving wellness excellence.

Medgic is an advanced AI tool designed to scan, analyze, and detect skin problems using powerful AI technology. Users can simply take a photo of their skin condition, and Medgic provides results along with friendly advice. The AI robot aims to reimagine medicine by continuously learning and evolving to contribute towards solving global healthcare challenges. It is available for free on all devices and offers general information for educational purposes only, not as a replacement for physician consultation.

Easy Save AI is a comprehensive directory of Digital Marketing AI tools available online and curated by a digital marketing expert, Muritala Yusuf. Easy Save AI's primary objective is to ensure that AI is accessible to everyone. You can conveniently utilize our website to discover new AI tools and services or locate specific ones based on your requirements by Using our easy-to-use filter on the home page. AI technology is constantly progressing, and experts are continuously developing sophisticated models for various applications. Our directory includes an array of AI tools such as AI copywriters, text and image generators, AI transcription, SEO automation tools, and more. There is something suitable for every individual! Our website is committed to offering user-friendly AI tools and resources that can contribute to the success of you and your business in the digital era. We meticulously evaluate and curate each tool to ensure they possess valuable features and are accessible to both novices and experts. With the Easy Save AI platform, you can locate the AI tools you require and save valuable time and money. We sometimes have discounts on AI Tools and we always specify on the product page for you to use.

The Allen Institute for AI (AI2) is a leading research institute dedicated to advancing artificial intelligence technologies for the common good. They focus on Natural Language Processing, Computer Vision, and AI applications for the environment. AI2 collaborates with diverse teams to tackle challenging problems in AI research, aiming to create world-changing AI solutions. The institute promotes diversity, equity, and inclusion in the research community, and offers opportunities for individuals to contribute to impactful AI projects.

Comfy Org is an open-source AI tooling platform dedicated to advancing and democratizing AI technology. The platform offers tools like node manager, node registry, CLI, automated testing, and public documentation to support the ComfyUI ecosystem. Comfy Org aims to make state-of-the-art AI models accessible to a wider audience by fostering an open-source and community-driven approach. The team behind Comfy Org consists of individuals passionate about developing and maintaining various components of the platform, ensuring a reliable and secure environment for users to explore and contribute to AI tooling.

Datafitai is a community platform for ChatGPT prompting, where users can find and share top-rated prompts for various topics such as marketing, coding, finance, writing, gaming, and art. The platform aims to improve the accuracy of ChatGPT responses by providing high-quality prompts. Users can explore, share, and contribute to a wide range of prompts to enhance their ChatGPT experience.

DeepLearning.AI is an AI education platform offering courses and resources to help individuals start or advance their careers in artificial intelligence. Founded by renowned AI expert Andrew Ng, the platform provides a wide range of courses, specializations, newsletters, and community forums to help learners build a strong foundation in machine learning and AI skills. Subscribers can access the latest AI news, insights, and events, and benefit from the expertise of industry leaders. With a focus on practical learning and real-world applications, DeepLearning.AI aims to empower individuals to harness the power of AI and contribute to the rapidly evolving field.

MarsX is a revolutionary dev tool that seamlessly integrates AI, NoCode, Code, and MicroApps, empowering developers to create innovative software solutions with unprecedented speed and efficiency. At its core, MarsX offers a comprehensive suite of features that cater to the diverse needs of developers, from AI-powered landing page builders to a vast Micro AppStore brimming with ready-to-use Micro-Apps. These Micro-Apps, meticulously crafted by developers worldwide, provide instant access to a plethora of functionalities, enabling developers to rapidly assemble complex applications without the need for extensive coding. MarsX's commitment to innovation extends beyond its core offerings, as evidenced by its continuous development of cutting-edge tools such as AI website builders and AI-powered UI generators. These tools leverage the transformative power of AI to streamline the development process, allowing developers to focus on their creativity and strategic decision-making. By harnessing the collective knowledge and expertise of a global developer community, MarsX fosters a collaborative environment where developers can share their creations, learn from each other, and contribute to the ever-expanding ecosystem of Micro-Apps. MarsX's mission is to democratize software development, making it accessible to individuals and teams of all skill levels. With its intuitive interface, comprehensive documentation, and a supportive community, MarsX empowers developers to bring their ideas to life, transforming complex software development into an accessible and enjoyable experience.

Animalspicker.com is an AI animal generator and blog that offers a wide range of resources related to animals. Users can randomly generate their favorite animals, explore pet care tips, learn about wildlife conservation efforts, delve into animal behavior, and discover information about exotic pets and pet nutrition. The website aims to provide comprehensive information to help users care for their pets and contribute to wildlife conservation.

Devin AI, developed by Cognition Labs, is the world's first fully autonomous AI software engineer. It streamlines software development by handling complex tasks, allowing engineers to focus on more challenging aspects. Devin AI possesses advanced programming skills, can manage complex tasks, understands and learns contextually, integrates with developer tools, and offers collaborative features. It can build and deploy applications, detect and fix bugs, contribute to open-source projects, train AI models, and handle GitHub repositories. Devin AI has demonstrated strong performance in issue resolution, surpassing previous AI models. It is currently in early access, with plans for future enhancements and integration with various development tools and platforms.

Sarvam AI is an AI application focused on leading transformative research in AI to develop, deploy, and distribute Generative AI applications in India. The platform aims to build efficient large language models for India's diverse linguistic culture and enable new GenAI applications through bespoke enterprise models. Sarvam AI is also developing an enterprise-grade platform for developing and evaluating GenAI apps, while contributing to open-source models and datasets to accelerate AI innovation.

Flora Incognita is an AI-supported plant identification application that allows users to identify more than 16,000 plant species. It enables users to save plant observations, access extensive plant fact sheets, and contribute to science through citizen science projects. The app is free of charge, advertising-free, and can be used offline, making it ideal for educational purposes and nature conservation initiatives. The research project 'Flora Incognita++' combines AI technology with citizen science to enhance plant identification and research.

Pl@ntNet is a citizen science project available as an application that helps you identify plants from your photos. It is a collaborative project that brings together scientists, naturalists, and citizens from all over the world to collect and share data on plant diversity. The app uses artificial intelligence to identify plants from photos, and the data collected is used to create a global database of plant diversity. Pl@ntNet is free to use and is available in over 20 languages.

The TiDB Documentation repository contains the source files for TiDB Docs in English and Chinese. Users can contribute by creating issues or pull requests to improve the documentation. It also provides guidance on customizing and generating PDF versions of the documentation. The repository maintains various versions of TiDB documentation in different branches, including development milestone releases and long-term support versions. Contributors can refer to the Contributing Guide to become a part of the project. The documentation is licensed under CC BY-SA 3.0.

Langfuse Docs is a repository for langfuse.com, built on Nextra. It provides guidelines for contributing to the documentation using GitHub Codespaces and local development setup. The repository includes Python cookbooks in Jupyter notebooks format, which are converted to markdown for rendering on the site. It also covers media management for images, videos, and gifs. The stack includes Nextra, Next.js, shadcn/ui, and Tailwind CSS. Additionally, there is a bundle analysis feature to analyze the production build bundle size using @next/bundle-analyzer.

DB-GPT-Hub is an experimental project leveraging Large Language Models (LLMs) for Text-to-SQL parsing. It includes stages like data collection, preprocessing, model selection, construction, and fine-tuning of model weights. The project aims to enhance Text-to-SQL capabilities, reduce model training costs, and enable developers to contribute to improving Text-to-SQL accuracy. The ultimate goal is to achieve automated question-answering based on databases, allowing users to execute complex database queries using natural language descriptions. The project has successfully integrated multiple large models and established a comprehensive workflow for data processing, SFT model training, prediction output, and evaluation.

NeMo Guardrails is an open-source toolkit for easily adding _programmable guardrails_ to LLM-based conversational applications. Guardrails (or "rails" for short) are specific ways of controlling the output of a large language model, such as not talking about politics, responding in a particular way to specific user requests, following a predefined dialog path, using a particular language style, extracting structured data, and more.

DocsGPT is an open-source documentation assistant powered by GPT models. It simplifies the process of searching for information in project documentation by allowing developers to ask questions and receive accurate answers. With DocsGPT, users can say goodbye to manual searches and quickly find the information they need. The tool aims to revolutionize project documentation experiences and offers features like live previews, Discord community, guides, and contribution opportunities. It consists of a Flask app, Chrome extension, similarity search index creation script, and a frontend built with Vite and React. Users can quickly get started with DocsGPT by following the provided setup instructions and can contribute to its development by following the guidelines in the CONTRIBUTING.md file. The project follows a Code of Conduct to ensure a harassment-free community environment for all participants. DocsGPT is licensed under MIT and is built with LangChain.

PyAirbyte brings the power of Airbyte to every Python developer by providing a set of utilities to use Airbyte connectors in Python. It enables users to easily manage secrets, work with various connectors like GitHub, Shopify, and Postgres, and contribute to the project. PyAirbyte is not a replacement for Airbyte but complements it, supporting data orchestration frameworks like Airflow and Snowpark. Users can develop ETL pipelines and import connectors from local directories. The tool simplifies data integration tasks for Python developers.

Data-Juicer is a one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs. It is a systematic & reusable library of 80+ core OPs, 20+ reusable config recipes, and 20+ feature-rich dedicated toolkits, designed to function independently of specific LLM datasets and processing pipelines. Data-Juicer allows detailed data analyses with an automated report generation feature for a deeper understanding of your dataset. Coupled with multi-dimension automatic evaluation capabilities, it supports a timely feedback loop at multiple stages in the LLM development process. Data-Juicer offers tens of pre-built data processing recipes for pre-training, fine-tuning, en, zh, and more scenarios. It provides a speedy data processing pipeline requiring less memory and CPU usage, optimized for maximum productivity. Data-Juicer is flexible & extensible, accommodating most types of data formats and allowing flexible combinations of OPs. It is designed for simplicity, with comprehensive documentation, easy start guides and demo configs, and intuitive configuration with simple adding/removing OPs from existing configs.

CSGHub is an open source, trustworthy large model asset management platform that can assist users in governing the assets involved in the lifecycle of LLM and LLM applications (datasets, model files, codes, etc). With CSGHub, users can perform operations on LLM assets, including uploading, downloading, storing, verifying, and distributing, through Web interface, Git command line, or natural language Chatbot. Meanwhile, the platform provides microservice submodules and standardized OpenAPIs, which could be easily integrated with users' own systems. CSGHub is committed to bringing users an asset management platform that is natively designed for large models and can be deployed On-Premise for fully offline operation. CSGHub offers functionalities similar to a privatized Huggingface(on-premise Huggingface), managing LLM assets in a manner akin to how OpenStack Glance manages virtual machine images, Harbor manages container images, and Sonatype Nexus manages artifacts.

DemoGPT is an all-in-one agent library that provides tools, prompts, frameworks, and LLM models for streamlined agent development. It leverages GPT-3.5-turbo to generate LangChain code, creating interactive Streamlit applications. The tool is designed for creating intelligent, interactive, and inclusive solutions in LLM-based application development. It offers model flexibility, iterative development, and a commitment to user engagement. Future enhancements include integrating Gorilla for autonomous API usage and adding a publicly available database for refining the generation process.

LLMStack is a no-code platform for building generative AI agents, workflows, and chatbots. It allows users to connect their own data, internal tools, and GPT-powered models without any coding experience. LLMStack can be deployed to the cloud or on-premise and can be accessed via HTTP API or triggered from Slack or Discord.

pgai simplifies the process of building search and Retrieval Augmented Generation (RAG) AI applications with PostgreSQL. It brings embedding and generation AI models closer to the database, allowing users to create embeddings, retrieve LLM chat completions, reason over data for classification, summarization, and data enrichment directly from within PostgreSQL in a SQL query. The tool requires an OpenAI API key and a PostgreSQL client to enable AI functionality in the database. Users can install pgai from source, run it in a pre-built Docker container, or enable it in a Timescale Cloud service. The tool provides functions to handle API keys using psql or Python, and offers various AI functionalities like tokenizing, detokenizing, embedding, chat completion, and content moderation.

Airbyte is an open-source data integration platform that makes it easy to move data from any source to any destination. With Airbyte, you can build and manage data pipelines without writing any code. Airbyte provides a library of pre-built connectors that make it easy to connect to popular data sources and destinations. You can also create your own connectors using Airbyte's low-code Connector Development Kit (CDK). Airbyte is used by data engineers and analysts at companies of all sizes to move data for a variety of purposes, including data warehousing, data analysis, and machine learning.

HolmesGPT is an open-source DevOps assistant powered by OpenAI or any tool-calling LLM of your choice. It helps in troubleshooting Kubernetes, incident response, ticket management, automated investigation, and runbook automation in plain English. The tool connects to existing observability data, is compliance-friendly, provides transparent results, supports extensible data sources, runbook automation, and integrates with existing workflows. Users can install HolmesGPT using Brew, prebuilt Docker container, Python Poetry, or Docker. The tool requires an API key for functioning and supports OpenAI, Azure AI, and self-hosted LLMs.

AITemplate (AIT) is a Python framework that transforms deep neural networks into CUDA (NVIDIA GPU) / HIP (AMD GPU) C++ code for lightning-fast inference serving. It offers high performance close to roofline fp16 TensorCore (NVIDIA GPU) / MatrixCore (AMD GPU) performance on major models. AITemplate is unified, open, and flexible, supporting a comprehensive range of fusions for both GPU platforms. It provides excellent backward capability, horizontal fusion, vertical fusion, memory fusion, and works with or without PyTorch. FX2AIT is a tool that converts PyTorch models into AIT for fast inference serving, offering easy conversion and expanded support for models with unsupported operators.

Smart Connections is an AI-powered plugin for Obsidian that helps you discover hidden connections and insights in your notes. With features like Smart View for real-time relevant note suggestions and Smart Chat for chatting with your notes, Smart Connections makes it easier than ever to stay organized and uncover hidden connections between your notes. Its intuitive interface and customizable settings ensure a seamless experience, tailored to your unique needs and preferences.

SWE-agent is a tool that turns language models (e.g. GPT-4) into software engineering agents capable of fixing bugs and issues in real GitHub repositories. It achieves state-of-the-art performance on the full test set by resolving 12.29% of issues. The tool is built and maintained by researchers from Princeton University. SWE-agent provides a command line tool and a graphical web interface for developers to interact with. It introduces an Agent-Computer Interface (ACI) to facilitate browsing, viewing, editing, and executing code files within repositories. The tool includes features such as a linter for syntax checking, a specialized file viewer, and a full-directory string searching command to enhance the agent's capabilities. SWE-agent aims to improve prompt engineering and ACI design to enhance the performance of language models in software engineering tasks.

LangDrive is an open-source AI library that simplifies training, deploying, and querying open-source large language models (LLMs) using private data. It supports data ingestion, fine-tuning, and deployment via a command-line interface, YAML file, or API, with a quick, easy setup. Users can build AI applications such as question/answering systems, chatbots, AI agents, and content generators. The library provides features like data connectors for ingestion, fine-tuning of LLMs, deployment to Hugging Face hub, inference querying, data utilities for CRUD operations, and APIs for model access. LangDrive is designed to streamline the process of working with LLMs and making AI development more accessible.

H2O LLM Studio is a framework and no-code GUI designed for fine-tuning state-of-the-art large language models (LLMs). With H2O LLM Studio, you can easily and effectively fine-tune LLMs without the need for any coding experience. The GUI is specially designed for large language models, and you can finetune any LLM using a large variety of hyperparameters. You can also use recent finetuning techniques such as Low-Rank Adaptation (LoRA) and 8-bit model training with a low memory footprint. Additionally, you can use Reinforcement Learning (RL) to finetune your model (experimental), use advanced evaluation metrics to judge generated answers by the model, track and compare your model performance visually, and easily export your model to the Hugging Face Hub and share it with the community.

KanTV is an open-source project that focuses on studying and practicing state-of-the-art AI technology in real applications and scenarios, such as online TV playback, transcription, translation, and video/audio recording. It is derived from the original ijkplayer project and includes many enhancements and new features, including: * Watching online TV and local media using a customized FFmpeg 6.1. * Recording online TV to automatically generate videos. * Studying ASR (Automatic Speech Recognition) using whisper.cpp. * Studying LLM (Large Language Model) using llama.cpp. * Studying SD (Text to Image by Stable Diffusion) using stablediffusion.cpp. * Generating real-time English subtitles for English online TV using whisper.cpp. * Running/experiencing LLM on Xiaomi 14 using llama.cpp. * Setting up a customized playlist and using the software to watch the content for R&D activity. * Refactoring the UI to be closer to a real commercial Android application (currently only supports English). Some goals of this project are: * To provide a well-maintained "workbench" for ASR researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To provide a well-maintained "workbench" for LLM researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To create an Android "turn-key project" for AI experts/researchers (who may not be familiar with regular Android software development) to focus on device-side AI R&D activity, where part of the AI R&D activity (algorithm improvement, model training, model generation, algorithm validation, model validation, performance benchmark, etc.) can be done very easily using Android Studio IDE and a powerful Android phone.

InternLM is a powerful language model series with features such as 200K context window for long-context tasks, outstanding comprehensive performance in reasoning, math, code, chat experience, instruction following, and creative writing, code interpreter & data analysis capabilities, and stronger tool utilization capabilities. It offers models in sizes of 7B and 20B, suitable for research and complex scenarios. The models are recommended for various applications and exhibit better performance than previous generations. InternLM models may match or surpass other open-source models like ChatGPT. The tool has been evaluated on various datasets and has shown superior performance in multiple tasks. It requires Python >= 3.8, PyTorch >= 1.12.0, and Transformers >= 4.34 for usage. InternLM can be used for tasks like chat, agent applications, fine-tuning, deployment, and long-context inference.

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