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TurboHire is a recruitment automation platform that provides a comprehensive suite of tools to streamline and enhance the entire recruitment process. It offers modules for candidate sourcing, talent screening, candidate engagement, interview automation, offer and onboarding, and recruitment analytics. TurboHire leverages artificial intelligence (AI) to automate various tasks, such as candidate scoring, pre-screening assessments, and interview scheduling. The platform integrates with leading HRMS systems and job boards, providing a seamless and efficient recruitment experience. TurboHire is trusted by over 120 companies across various industries, including IT, manufacturing, BFSI, and pharma.

MechanicBotAI is an AI-powered application designed to help car owners diagnose issues with their vehicles quickly and accurately. By simply describing the problems they are experiencing, users can receive a precise diagnosis, saving time and money on unnecessary repairs. The app guides users through a simple 3-step process, tailored specifically to their car model, providing a user-friendly and personalized experience. MechanicBotAI aims to eliminate the guesswork involved in car maintenance and empower users to make informed decisions about their vehicle's health.

AutoPod is a suite of plug-ins for Adobe Premiere Pro that automates many of the time-consuming tasks involved in editing video podcasts and shows. With AutoPod, you can save hours of editing time each week, and get a finished edit that is ready to be published.

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.

Undress AI Pro is a controversial computer vision application that uses machine learning to remove clothing from images of people. It was based on deep learning and generative adversarial networks (GANs). The technology powering Undress AI and DeepNude was based on deep learning and generative adversarial networks (GANs). GANs involve two neural networks competing against each other - a generator creates synthetic images trying to mimic the training data, while a discriminator tries to distinguish the real images from the generated ones. Through this adversarial process, the generator learns to produce increasingly realistic outputs. For Undress AI, the GAN was trained on a dataset of nude and clothed images, allowing it to "unclothe" people in new images by generating the nudity.

BlockSurvey is a privacy-first AI-powered survey tool that empowers users to create secure and confidential surveys with end-to-end encryption. It prioritizes data ownership, AI-driven efficiency, and exceptional user experience. With features like anonymous surveys, AI qualitative analysis, token-gated forms, and multilingual capabilities, BlockSurvey ensures privacy, trust, and actionable insights. It caters to various industries and use cases, offering compliance measures, skip logic, and real-time collaboration. Trusted by leading brands, BlockSurvey is designed for Web3 companies and individuals seeking secure, privacy-focused survey solutions.

Get-Headshot is an AI-powered headshot generator that provides professional-quality headshots at an affordable price. With Get-Headshot, you can create custom headshots in minutes, without the need for a photographer. Simply upload your photos, select your desired style, and let Get-Headshot's AI do the rest. Get-Headshot offers a variety of styles to choose from, so you can find the perfect look for your needs. And with its fast turnaround time, you'll have your headshots in no time.

Get-offer.me is an AI Interview Assistant application designed to help users excel in job interviews by providing real-time assistance with answers. The AI assistant supports over 20 languages and seamlessly integrates with various online meeting software. By offering live support, contextually appropriate responses, and boosting confidence, Get-offer.me aims to enhance users' interview performance and increase their chances of securing job offers.

Otter.ai is an AI meeting assistant application that provides users with the ability to record audio, write notes, automatically capture slides, and generate meeting summaries. Users can collaborate with teammates in real-time, add comments, highlight key points, and assign action items. Otter.ai helps companies and organizations to write notes and summarize meetings 30 times faster. The application also offers features like automated slide capture and automated meeting notes, which can be connected to Google or Microsoft calendar to join and record meetings on platforms like Zoom, Microsoft Teams, and Google Meet. Otter.ai aims to streamline meeting processes and enhance productivity by leveraging AI technology.

Popmenu is an AI-powered marketing technology platform designed to help restaurants grow their business. It offers solutions such as website design, dynamic menu technology, online ordering, marketing automation, and AI phone answering. Popmenu aims to simplify restaurant operations, capture guest preferences, automate personalized marketing, and consolidate tools for better efficiency. With a focus on independent restaurants, quick service restaurants, hospitality groups, and full-service restaurants, Popmenu helps owners enhance customer service, improve margins, and attract more guests. The platform has received positive reviews from clients and is known for its exceptional customer service.

Mem is an AI notes app designed to keep users organized by allowing them to jot down notes without the need for manual organization. The app helps users find and use their notes efficiently by leveraging AI technology. Mem offers features such as AI-powered Collections for seamless organization, Smart Search for quick note retrieval, and Mem Chat for personalized assistance. Trusted by leaders, Mem is a go-to tool for entrepreneurs, executives, and creatives seeking to streamline their note-taking process and boost productivity.

Blaze is an AI-powered content creation platform that helps users generate personalized social media posts, blogs, newsletters, and websites in their brand voice and style. It offers features like AI Brand Voice, AI Blog Post Generator, AI Background Remover, and more. Users can collaborate in real-time, schedule posts, and analyze content performance. Blaze aims to simplify content creation and marketing efforts for individuals and teams across various industries.

MonAi is an AI-powered expense tracker that simplifies expense tracking by allowing users to input expenses in a conversational manner, similar to sending a voice message to a friend. The AI technology automatically categorizes and summarizes the expenses, making it easy for users to manage their finances. MonAi does not require a login and ensures secure storage of data in the user's private iCloud account. Users can also share and collaborate on expenses with others. MonAi aims to streamline the expense tracking process and provide a user-friendly experience for managing finances.

Success.ai is an AI-powered platform designed to help businesses unlock hypergrowth by providing solutions for lead generation, email outreach, warm-up services, and advanced AI writing. The platform offers unlimited email sending accounts, warm-up tools, and AI-powered email writing capabilities to supercharge growth and maximize efficiency. With a focus on B2B lead generation, Success.ai enables users to access a vast database of over 700 million verified prospects, personalize email campaigns using AI, and streamline lead responses for increased deal closures. The platform also offers advanced analytics, inbox rotation, and email validation features to optimize email marketing strategies and ensure high deliverability rates.

Pathfinder is a career co-pilot that helps users connect with others who share similar career experiences, interests, or questions. It uses AI to find the perfect people and career advice for users in seconds. Pathfinder is building the world's first Career Co-pilot that taps into its Career Advice Network. Users can simply describe their career problem, interests, or questions, and the AI will find the perfect people and career advice for them in seconds.

Typeboss is an AI-powered content creation platform that helps users generate high-quality content in seconds. With a wide range of tools and templates, Typeboss can help you create blog posts, articles, social media content, marketing copy, and more. Typeboss is easy to use and affordable, making it a great option for businesses of all sizes.

SocialBee is an AI-powered social media management tool that helps businesses and individuals manage their social media accounts efficiently. It offers a range of features, including content creation, scheduling, analytics, and collaboration, to help users plan, create, and track their social media campaigns. SocialBee also provides access to a team of social media experts who can help users with their social media strategy and execution.

Descript is an AI-powered editing assistant that allows users to edit videos and podcasts with ease. It offers features such as video editing, multitrack audio editing, clip selection, remote recording, captions, screen recording, transcription, AI speech generation, and more. Descript's AI capabilities help users create high-quality content effortlessly, making it a valuable tool for creators and teams. With a user-friendly interface and advanced AI features, Descript simplifies the video editing process and enhances productivity.

OpenKF (Open Knowledge Flow) is an online intelligent customer service system. It is an open-source customer service system based on OpenIM, supporting LLM (Local Knowledgebase) customer service and multi-channel customer service. It is easy to integrate with third-party systems, deploy, and perform secondary development. The system provides features like login page, config page, dashboard page, platform page, and session page. Users can quickly get started with OpenKF by following the installation and run instructions. The architecture follows MVC design with a standardized directory structure. The community encourages involvement through community meetings, contributions, and development. OpenKF is licensed under the Apache 2.0 license.

Letta is an open source framework for building stateful LLM applications. It allows users to build stateful agents with advanced reasoning capabilities and transparent long-term memory. The framework is white box and model-agnostic, enabling users to connect to various LLM API backends. Letta provides a graphical interface, the Letta ADE, for creating, deploying, interacting, and observing with agents. Users can access Letta via REST API, Python, Typescript SDKs, and the ADE. Letta supports persistence by storing agent data in a database, with PostgreSQL recommended for data migrations. Users can install Letta using Docker or pip, with Docker defaulting to PostgreSQL and pip defaulting to SQLite. Letta also offers a CLI tool for interacting with agents. The project is open source and welcomes contributions from the community.

MegaDetector is an AI model that identifies animals, people, and vehicles in camera trap images (which also makes it useful for eliminating blank images). This model is trained on several million images from a variety of ecosystems. MegaDetector is just one of many tools that aims to make conservation biologists more efficient with AI. If you want to learn about other ways to use AI to accelerate camera trap workflows, check out our of the field, affectionately titled "Everything I know about machine learning and camera traps".

Kubeflow Training Operator is a Kubernetes-native project for fine-tuning and scalable distributed training of machine learning (ML) models created with various ML frameworks such as PyTorch, Tensorflow, XGBoost, MPI, Paddle and others. Training Operator allows you to use Kubernetes workloads to effectively train your large models via Kubernetes Custom Resources APIs or using Training Operator Python SDK. > Note: Before v1.2 release, Kubeflow Training Operator only supports TFJob on Kubernetes. * For a complete reference of the custom resource definitions, please refer to the API Definition. * TensorFlow API Definition * PyTorch API Definition * Apache MXNet API Definition * XGBoost API Definition * MPI API Definition * PaddlePaddle API Definition * For details of all-in-one operator design, please refer to the All-in-one Kubeflow Training Operator * For details on its observability, please refer to the monitoring design doc.

Katib is a Kubernetes-native project for automated machine learning (AutoML). Katib supports Hyperparameter Tuning, Early Stopping and Neural Architecture Search. Katib is the project which is agnostic to machine learning (ML) frameworks. It can tune hyperparameters of applications written in any language of the users’ choice and natively supports many ML frameworks, such as TensorFlow, Apache MXNet, PyTorch, XGBoost, and others. Katib can perform training jobs using any Kubernetes Custom Resources with out of the box support for Kubeflow Training Operator, Argo Workflows, Tekton Pipelines and many more.

CredSweeper is a tool designed to detect credentials like tokens, passwords, and API keys in directories or files. It helps users identify potential exposure of sensitive information by scanning lines, filtering, and utilizing an AI model. The tool reports lines containing possible credentials, their location, and the expected type of credential.

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.

Giskard is an open-source Python library that automatically detects performance, bias & security issues in AI applications. The library covers LLM-based applications such as RAG agents, all the way to traditional ML models for tabular data.

HAMi is a Heterogeneous AI Computing Virtualization Middleware designed to manage Heterogeneous AI Computing Devices in a Kubernetes cluster. It allows for device sharing, device memory control, device type specification, and device UUID specification. The tool is easy to use and does not require modifying task YAML files. It includes features like hard limits on device memory, partial device allocation, streaming multiprocessor limits, and core usage specification. HAMi consists of components like a mutating webhook, scheduler extender, device plugins, and in-container virtualization techniques. It is suitable for scenarios requiring device sharing, specific device memory allocation, GPU balancing, low utilization optimization, and scenarios needing multiple small GPUs. The tool requires prerequisites like NVIDIA drivers, CUDA version, nvidia-docker, Kubernetes version, glibc version, and helm. Users can install, upgrade, and uninstall HAMi, submit tasks, and monitor cluster information. The tool's roadmap includes supporting additional AI computing devices, video codec processing, and Multi-Instance GPUs (MIG).

Flyte is an open-source orchestrator that facilitates building production-grade data and ML pipelines. It is built for scalability and reproducibility, leveraging Kubernetes as its underlying platform. With Flyte, user teams can construct pipelines using the Python SDK, and seamlessly deploy them on both cloud and on-premises environments, enabling distributed processing and efficient resource utilization.

CodeProject.AI Server is a standalone, self-hosted, fast, free, and open-source Artificial Intelligence microserver designed for any platform and language. It can be installed locally without the need for off-device or out-of-network data transfer, providing an easy-to-use solution for developers interested in AI programming. The server includes a HTTP REST API server, backend analysis services, and the source code, enabling users to perform various AI tasks locally without relying on external services or cloud computing. Current capabilities include object detection, face detection, scene recognition, sentiment analysis, and more, with ongoing feature expansions planned. The project aims to promote AI development, simplify AI implementation, focus on core use-cases, and leverage the expertise of the developer community.

Ainneve is an example game for Evennia, created by the Evennia community as a base for learning and building off of. It is currently in early development stages and undergoing major refactoring. The game provides a starting point for users to explore game systems and world settings, with extensive documentation available. Installation is straightforward, with pre-configured settings and clear instructions for setting up and starting the server. The project welcomes contributions and offers opportunities for users to get involved by checking open issues and joining the community Discord channel. Ainneve is licensed under the BSD license.

Axone is a public dPoS layer 1 designed for connecting, sharing, and monetizing resources in the AI stack. It is an open network for collaborative AI workflow management compatible with any data, model, or infrastructure, allowing sharing of data, algorithms, storage, compute, APIs, both on-chain and off-chain. The 'axoned' node of the AXONE network is built on Cosmos SDK & Tendermint consensus, enabling companies & individuals to define on-chain rules, share off-chain resources, and create new applications. Validators secure the network by maintaining uptime and staking $AXONE for rewards. The blockchain supports various platforms and follows Semantic Versioning 2.0.0. A docker image is available for quick start, with documentation on querying networks, creating wallets, starting nodes, and joining networks. Development involves Go and Cosmos SDK, with smart contracts deployed on the AXONE blockchain. The project provides a Makefile for building, installing, linting, and testing. Community involvement is encouraged through Discord, open issues, and pull requests.

GraphRAG Local Ollama is a repository that offers an adaptation of Microsoft's GraphRAG, customized to support local models downloaded using Ollama. It enables users to leverage local models with Ollama for large language models (LLMs) and embeddings, eliminating the need for costly OpenAPI models. The repository provides a simple setup process and allows users to perform question answering over private text corpora by building a graph-based text index and generating community summaries for closely-related entities. GraphRAG Local Ollama aims to improve the comprehensiveness and diversity of generated answers for global sensemaking questions over datasets.

The Ultralytics YOLO iOS App GitHub repository offers an advanced object detection tool leveraging YOLOv8 models for iOS devices. Users can transform their devices into intelligent detection tools to explore the world in a new and exciting way. The app provides real-time detection capabilities with multiple AI models to choose from, ranging from 'nano' to 'x-large'. Contributors are welcome to participate in this open-source project, and licensing options include AGPL-3.0 for open-source use and an Enterprise License for commercial integration. Users can easily set up the app by following the provided steps, including cloning the repository, adding YOLOv8 models, and running the app on their iOS devices.

HybridAGI is the first Programmable LLM-based Autonomous Agent that lets you program its behavior using a **graph-based prompt programming** approach. This state-of-the-art feature allows the AGI to efficiently use any tool while controlling the long-term behavior of the agent. Become the _first Prompt Programmers in history_ ; be a part of the AI revolution one node at a time! **Disclaimer: We are currently in the process of upgrading the codebase to integrate DSPy**

Open-LLM-VTuber is a project in early stages of development that allows users to interact with Large Language Models (LLM) using voice commands and receive responses through a Live2D talking face. The project aims to provide a minimum viable prototype for offline use on macOS, Linux, and Windows, with features like long-term memory using MemGPT, customizable LLM backends, speech recognition, and text-to-speech providers. Users can configure the project to chat with LLMs, choose different backend services, and utilize Live2D models for visual representation. The project supports perpetual chat, offline operation, and GPU acceleration on macOS, addressing limitations of existing solutions on macOS.

AXONE Smart Contracts repository hosts Smart Contracts for the AXONE network, compatible with any Cosmos blockchains using the CosmWasm framework. It includes storage, sovereignty, and resource management oriented Smart Contracts. Each contract has different functionalities and maturity stages, with detailed tech documentation and emojis indicating maturity levels. The repository provides tools for building, testing, deploying, and interacting with Smart Contracts, along with guidelines for contributing and community engagement.

LLMOps Duke AIPI is a course focused on operationalizing Large Language Models, teaching methodologies for developing applications using software development best practices with large language models. The course covers various topics such as generative AI concepts, setting up development environments, interacting with large language models, using local large language models, applied solutions with LLMs, extensibility using plugins and functions, retrieval augmented generation, introduction to Python web frameworks for APIs, DevOps principles, deploying machine learning APIs, LLM platforms, and final presentations. Students will learn to build, share, and present portfolios using Github, YouTube, and Linkedin, as well as develop non-linear life-long learning skills. Prerequisites include basic Linux and programming skills, with coursework available in Python or Rust. Additional resources and references are provided for further learning and exploration.

Ianvs is a distributed synergy AI benchmarking project incubated in KubeEdge SIG AI. It aims to test the performance of distributed synergy AI solutions following recognized standards, providing end-to-end benchmark toolkits, test environment management tools, test case control tools, and benchmark presentation tools. It also collaborates with other organizations to establish comprehensive benchmarks and related applications. The architecture includes critical components like Test Environment Manager, Test Case Controller, Generation Assistant, Simulation Controller, and Story Manager. Ianvs documentation covers quick start, guides, dataset descriptions, algorithms, user interfaces, stories, and roadmap.

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