Best AI tools for< Sync Templates >

Ubique is an AI-powered video messaging platform that helps users enhance their sales outreach and engagement rates through personalized video messages. The tool leverages cutting-edge AI technology to create fully personalized videos by combining voice and face cloning. Users can choose from dynamic backgrounds and receive sales coaching assistance to kickstart their journey in the sales video world. Ubique seamlessly integrates with popular sales tools, allowing users to personalize video templates and synchronize data effortlessly.

Wrk is an automation platform that combines API integration with RPA and human skill for complete automation in one platform. It offers pre-built workflow automations, connects to tools that don't have APIs, provides web scraping templates, and allows for human intervention when needed. Wrk automatically chooses the best tools for the job and offers usage-based pricing.

Photes.io is a photo-to-notes application that utilizes AI technology to convert your photos into organized notes. It allows you to capture, convert, and store notes from various sources such as slides, meetups, classes, and whiteboards. The app offers features like easy integration with popular apps, tagging and categorizing notes for better organization, real-time sync across devices, secure and private data storage, and customizable templates for formatting notes.

Migma.ai is an AI-powered email creation platform that revolutionizes the process of designing, managing, and sending emails with unmatched speed. The platform allows users to auto-import assets, create emails using AI or code, manage audiences, and send through preferred providers seamlessly. Migma.ai simplifies email creation by enabling users to describe their requirements, allowing the AI to generate production-ready emails instantly. With features like real-time content sync, seamless ESP integrations, and intelligent brand import, Migma.ai offers a comprehensive solution for efficient email marketing.

The AI Infographic Maker is a powerful tool that allows users to effortlessly create stunning infographics with the help of artificial intelligence. It offers a wide range of pre-set templates for various industries and topics, AI-powered design assistance for intelligent suggestions, data visualization support for popular chart types, customizable options for complete control over design elements, real-time updates and auto-sync features, and no design skills required for professional-level results. The tool simplifies the infographic creation process, making it accessible to users without advanced design skills.

folk is a CRM tool designed to help users build real relationships to close winning deals. It offers features such as 1-click enrichment, messages & sequences, dashboards, pipeline management, and integrations. With folk, users can connect their CRM to LinkedIn, Gmail, and Outlook, access workspace templates, customize pipeline views, and benefit from social media prospecting. The tool also provides email and calendar sync, 1-click enrichment for finding emails, and over 6000 integrations for syncing with favorite tools. Additionally, folk offers AI-generated variables, conversation templates, actionable insights for team collaboration, smart fields, message analytics, and customizable dashboards.

Saner.ai is an AI-powered note-taking app that helps you find what you search for, bring back knowledge you forgot, and develop insights without context switching. It features a powerful import tool, focus mode, natural language search, citation, list, and graph views, AI writing assistance, hierarchical folders, hardened security, robust integration, offline sync, and versatile templates. Saner.ai is free to use and is perfect for entrepreneurs, ADHDr, learners, and creators.

Released is an AI-powered tool designed to transform Jira tickets into shareable roadmaps and release notes. It helps product teams communicate product plans and updates effectively, engaging customers and stakeholders with stunning visuals and effortless generation of release notes. The tool offers features like post categorization, templates creation, issue list compilation, custom color palettes, and cross-project boards. Released integrates seamlessly with various publishing tools, ensuring security and scalability with SOC 2 Type 2 certification and encryption practices. Users can easily manage user provisioning, sync with Active Directory, and share updates publicly or privately. Loved by product teams, Released simplifies communication processes and reduces the time required to publish go-to-market plans.

Storybeat is an all-in-one image editing app designed to help users easily create stunning and viral social media content. With hundreds of professional templates, color filters, music libraries, and AI-powered tools like Auto Design and AI Captions, Storybeat offers endless possibilities for unleashing creativity and enhancing storytelling. Users can stand out with high-quality templates, synchronize content with music, and elevate their content with unique filters. The app is user-friendly, lightning-fast, and perfect for creating professional-looking content quickly.

Sync Labs provides an API for real-time lip-sync, allowing users to animate people to speak any language in any video. The API is backed by the original creators of Wav2Lip and works on any video content, including movies, podcasts, games, and animations.

Sync.AI is an AI-powered business communication tool that integrates various communication tools like calendar, calls, and email to provide users with a holistic overview of their business activities. It enhances productivity by syncing data from daily activities and third-party sources, leading to more informed decision-making and shorter sales cycles.

sync.labs is an AI lipsync tool designed for video content creators. It offers an API for realtime lip-sync to animate people to speak any language in any video. The tool allows users to create, modify, and animate humans in video content, making it versatile for various applications such as movies, podcasts, games, and animations. sync.labs aims to simplify the process of syncing audio with video content, providing a seamless experience for content creators.

Latent Sync is an advanced AI-powered lip synchronization tool that revolutionizes the creation of high-quality, dynamic lip-sync videos. By harnessing stable diffusion and TREPA technology, Latent Sync delivers precise and realistic lip synchronization for various applications, such as film dubbing, virtual avatars, and advertising. The tool offers an end-to-end workflow integration, versatile application support, and dynamic effects, empowering creators to generate lifelike speaking animations effortlessly.

Lipsyncer.ai is an AI application that allows users to create AI lip-sync videos automatically. Users can upload videos, images, or audio files to synchronize lip movements with any audio. The application saves time by eliminating the need for manual video editing, making it ideal for businesses, advertising agencies, YouTubers, influencers, and marketing agencies. Lipsyncer.ai offers high-quality lip-syncing, multilingual text-to-speech presenters, and a pay-as-you-go pricing model. The application is integrated into popular design programs and e-commerce systems, providing digital efficiency to users' workflows.

Chat Data is an AI application that allows users to create custom chatbots using their own data sources. Users can easily build and integrate chatbots with their websites or other platforms, personalize the chatbot's interface, and access advanced features like human support escalation and product updates synchronization. The platform offers HIPAA-compliant medical chat models and ensures data privacy by retaining conversation data exclusively within the user's browser. With Chat Data, users can enhance customer interactions, gather insights, and streamline communication processes.

LivePortrait is an online platform that enables users to add expressions and lip sync to static portraits, transforming them into dynamic and engaging animations. Users can upload a source portrait and a driving video to bring their portraits to life with realistic expressions and lip synchronization. The platform offers advanced features like versatile compatibility with various sources, intuitive sliders for fine-tuning expressions, and an easy-to-use interface for creating lifelike animations.

The website displays a '404: NOT_FOUND' error message indicating that the deployment cannot be found. It provides a code 'DEPLOYMENT_NOT_FOUND' and an ID 'sin1::t6mdp-1736442717535-3a5d4eeaf597'. Users are directed to refer to the documentation for further information and troubleshooting.

Code Snippets AI is an AI-powered code snippets library for teams. It helps developers master their codebase with contextually-rich AI chats, integrated with a secure code snippets library. Developers can build new features, fix bugs, add comments, and understand their codebase with the help of Code Snippets AI. The tool is trusted by the best development teams and helps developers code smarter than ever. With Code Snippets AI, developers can leverage the power of a codebase aware assistant, helping them write clean, performance optimized code. They can also create documentation, refactor, debug and generate code with full codebase context. This helps developers spend more time creating code and less time debugging errors.

Coefficient is a data connector tool for Google Sheets and Excel that empowers users to unlock the full potential of their spreadsheets by providing live connections to over 60 business systems. It offers features such as two-way syncing, automatic refreshes, and scheduled alerts, all powered by AI. Coefficient streamlines data import, visualization, and system updates, enabling users to eliminate manual work, improve data accuracy, and save time. Trusted by over 50,000 companies, Coefficient is a user-friendly tool that enhances data analysis and reporting processes.

AI LipSync Studio is a professional video lip synchronization and audio matching tool that utilizes cutting-edge artificial intelligence technology to transform videos with seamless audio-visual matching. It is perfect for video localization, dubbing, and comic content creation, offering features such as instant language translation with natural lip movements, multi-language support, and professional quality output for corporate communications. The application eliminates lip sync mismatches and ensures perfect audio-visual matching for all content creation needs, making it a preferred choice for content creators worldwide.

Sales & Dungeons is a tool that utilizes thermal printers for creating customizable handouts, quick references, and more for Dungeons and Dragons sessions. It offers extensive templating and random generation systems, supports various connection methods, and allows importing/exporting templates and data sources. Users can access external data sources like Open5e, import data from CSV and other formats, and utilize AI prompt generation and translation. The tool supports cloud sync and is compatible with multiple operating systems and devices.

The 'talking-avatar-with-ai' project is a digital human system that utilizes OpenAI's GPT-3 for generating responses, Whisper for audio transcription, Eleven Labs for voice generation, and Rhubarb Lip Sync for lip synchronization. The system allows users to interact with a digital avatar that responds with text, facial expressions, and animations, creating a realistic conversational experience. The project includes setup for environment variables, chat prompt templates, chat model configuration, and structured output parsing to enhance the interaction with the digital human.

This repository contains the open source python command line interface for vast.ai. The CLI has all the main functionality of the vast.ai website GUI and uses the same underlying REST API. The main functionality is self-contained in the script file vast.py, with additional invoice generating commands in vast_pdf.py. Users can interact with the vast.ai platform through the CLI to manage instances, create templates, manage teams, and perform various cloud-related tasks.

Chat Nio is a next-generation AIGC one-stop business solution that combines the advantages of frontend-oriented lightweight deployment projects with powerful API distribution systems. It offers rich model support, beautiful UI design, complete Markdown support, multi-theme support, internationalization support, text-to-image support, powerful conversation sync, model market & preset system, rich file parsing, full model internet search, Progressive Web App (PWA) support, comprehensive backend management, multiple billing methods, innovative model caching, and additional features. The project aims to address limitations in conversation synchronization, billing, file parsing, conversation URL sharing, channel management, and API call support found in existing AIGC commercial sites, while also providing a user-friendly interface design and C-end features.

Naas (Notebooks as a service) is an open source platform that enables users to create powerful data engines combining automation, analytics, and AI from Jupyter notebooks. It offers features like templates for automated data jobs and reports, drivers for data connectivity, and production-ready environment with scheduling and notifications. Naas aims to provide an alternative to Google Colab with enhanced low-code layers.

LMQL is a programming language designed for large language models (LLMs) that offers a unique way of integrating traditional programming with LLM interaction. It allows users to write programs that combine algorithmic logic with LLM calls, enabling model reasoning capabilities within the context of the program. LMQL provides features such as Python syntax integration, rich control-flow options, advanced decoding techniques, powerful constraints via logit masking, runtime optimization, sync and async API support, multi-model compatibility, and extensive applications like JSON decoding and interactive chat interfaces. The tool also offers library integration, flexible tooling, and output streaming options for easy model output handling.

Note Companion is an AI-powered Obsidian plugin that automatically organizes and formats notes. It provides organizing suggestions, custom format AI prompts, automated workflows, handwritten note digitization, audio transcription, atomic note generation, YouTube summaries, and context-aware AI chat. Key use cases include smart vault management, handwritten notes digitization, and intelligent meeting notes. The tool offers advanced features like custom AI templates and multi-modal support for processing various content types. Users can seamlessly integrate with mobile workflows and utilize iOS shortcuts for sending Apple Notes to Obsidian. Note Companion enhances productivity by streamlining note organization and management tasks with AI assistance.

Azure OpenAI Service is a central capability with Azure API Management, providing guidance and tools for organizations to implement Azure OpenAI in a production environment with an emphasis on cost control, secure access, and usage monitoring. It includes infrastructure-as-code templates, CI/CD pipelines, secure access management, usage monitoring, load balancing, streaming requests, and end-to-end samples like ChatApp and Azure Dashboards.

The GPT Server project leverages the basic capabilities of FastChat to provide the capabilities of an openai server. It perfectly adapts more models, optimizes models with poor compatibility in FastChat, and supports loading vllm, LMDeploy, and hf in various ways. It also supports all sentence_transformers compatible semantic vector models, including Chat templates with function roles, Function Calling (Tools) capability, and multi-modal large models. The project aims to reduce the difficulty of model adaptation and project usage, making it easier to deploy the latest models with minimal code changes.

ChatGPT Next Web is a well-designed cross-platform ChatGPT web UI tool that supports Claude, GPT4, and Gemini Pro models. It allows users to deploy their private ChatGPT applications with ease. The tool offers features like one-click deployment, compact client for Linux/Windows/MacOS, compatibility with self-deployed LLMs, privacy-first approach with local data storage, markdown support, responsive design, fast loading speed, prompt templates, awesome prompts, chat history compression, multilingual support, and more.

NextChat is a well-designed cross-platform ChatGPT web UI tool that supports Claude, GPT4, and Gemini Pro. It offers a compact client for Linux, Windows, and MacOS, with features like self-deployed LLMs compatibility, privacy-first data storage, markdown support, responsive design, and fast loading speed. Users can create, share, and debug chat tools with prompt templates, access various prompts, compress chat history, and use multiple languages. The tool also supports enterprise-level privatization and customization deployment, with features like brand customization, resource integration, permission control, knowledge integration, security auditing, private deployment, and continuous updates.

This Helm chart bootstraps an Airflow deployment on a Kubernetes cluster using the Helm package manager. The version of this chart does not correlate to any other component. Users should not expect feature parity between OSS airflow chart and the Astronomer airflow-chart for identical version numbers. To install this helm chart remotely (using helm 3) kubectl create namespace airflow helm repo add astronomer https://helm.astronomer.io helm install airflow --namespace airflow astronomer/airflow To install this repository from source sh kubectl create namespace airflow helm install --namespace airflow . Prerequisites: Kubernetes 1.12+ Helm 3.6+ PV provisioner support in the underlying infrastructure Installing the Chart: sh helm install --name my-release . The command deploys Airflow on the Kubernetes cluster in the default configuration. The Parameters section lists the parameters that can be configured during installation. Upgrading the Chart: First, look at the updating documentation to identify any backwards-incompatible changes. To upgrade the chart with the release name `my-release`: sh helm upgrade --name my-release . Uninstalling the Chart: To uninstall/delete the `my-release` deployment: sh helm delete my-release The command removes all the Kubernetes components associated with the chart and deletes the release. Updating DAGs: Bake DAGs in Docker image The recommended way to update your DAGs with this chart is to build a new docker image with the latest code (`docker build -t my-company/airflow:8a0da78 .`), push it to an accessible registry (`docker push my-company/airflow:8a0da78`), then update the Airflow pods with that image: sh helm upgrade my-release . --set images.airflow.repository=my-company/airflow --set images.airflow.tag=8a0da78 Docker Images: The Airflow image that are referenced as the default values in this chart are generated from this repository: https://github.com/astronomer/ap-airflow. Other non-airflow images used in this chart are generated from this repository: https://github.com/astronomer/ap-vendor. Parameters: The complete list of parameters supported by the community chart can be found on the Parameteres Reference page, and can be set under the `airflow` key in this chart. The following tables lists the configurable parameters of the Astronomer chart and their default values. | Parameter | Description | Default | | :----------------------------- | :-------------------------------------------------------------------------------------------------------- | :---------------------------- | | `ingress.enabled` | Enable Kubernetes Ingress support | `false` | | `ingress.acme` | Add acme annotations to Ingress object | `false` | | `ingress.tlsSecretName` | Name of secret that contains a TLS secret | `~` | | `ingress.webserverAnnotations` | Annotations added to Webserver Ingress object | `{}` | | `ingress.flowerAnnotations` | Annotations added to Flower Ingress object | `{}` | | `ingress.baseDomain` | Base domain for VHOSTs | `~` | | `ingress.auth.enabled` | Enable auth with Astronomer Platform | `true` | | `extraObjects` | Extra K8s Objects to deploy (these are passed through `tpl`). More about Extra Objects. | `[]` | | `sccEnabled` | Enable security context constraints required for OpenShift | `false` | | `authSidecar.enabled` | Enable authSidecar | `false` | | `authSidecar.repository` | The image for the auth sidecar proxy | `nginxinc/nginx-unprivileged` | | `authSidecar.tag` | The image tag for the auth sidecar proxy | `stable` | | `authSidecar.pullPolicy` | The K8s pullPolicy for the the auth sidecar proxy image | `IfNotPresent` | | `authSidecar.port` | The port the auth sidecar exposes | `8084` | | `gitSyncRelay.enabled` | Enables git sync relay feature. | `False` | | `gitSyncRelay.repo.url` | Upstream URL to the git repo to clone. | `~` | | `gitSyncRelay.repo.branch` | Branch of the upstream git repo to checkout. | `main` | | `gitSyncRelay.repo.depth` | How many revisions to check out. Leave as default `1` except in dev where history is needed. | `1` | | `gitSyncRelay.repo.wait` | Seconds to wait before pulling from the upstream remote. | `60` | | `gitSyncRelay.repo.subPath` | Path to the dags directory within the git repository. | `~` | Specify each parameter using the `--set key=value[,key=value]` argument to `helm install`. For example, sh helm install --name my-release --set executor=CeleryExecutor --set enablePodLaunching=false . Walkthrough using kind: Install kind, and create a cluster We recommend testing with Kubernetes 1.25+, example: sh kind create cluster --image kindest/node:v1.25.11 Confirm it's up: sh kubectl cluster-info --context kind-kind Add Astronomer's Helm repo sh helm repo add astronomer https://helm.astronomer.io helm repo update Create namespace + install the chart sh kubectl create namespace airflow helm install airflow -n airflow astronomer/airflow It may take a few minutes. Confirm the pods are up: sh kubectl get pods --all-namespaces helm list -n airflow Run `kubectl port-forward svc/airflow-webserver 8080:8080 -n airflow` to port-forward the Airflow UI to http://localhost:8080/ to confirm Airflow is working. Login as _admin_ and password _admin_. Build a Docker image from your DAGs: 1. Start a project using astro-cli, which will generate a Dockerfile, and load your DAGs in. You can test locally before pushing to kind with `astro airflow start`. `sh mkdir my-airflow-project && cd my-airflow-project astro dev init` 2. Then build the image: `sh docker build -t my-dags:0.0.1 .` 3. Load the image into kind: `sh kind load docker-image my-dags:0.0.1` 4. Upgrade Helm deployment: sh helm upgrade airflow -n airflow --set images.airflow.repository=my-dags --set images.airflow.tag=0.0.1 astronomer/airflow Extra Objects: This chart can deploy extra Kubernetes objects (assuming the role used by Helm can manage them). For Astronomer Cloud and Enterprise, the role permissions can be found in the Commander role. yaml extraObjects: - apiVersion: batch/v1beta1 kind: CronJob metadata: name: "{{ .Release.Name }}-somejob" spec: schedule: "*/10 * * * *" concurrencyPolicy: Forbid jobTemplate: spec: template: spec: containers: - name: myjob image: ubuntu command: - echo args: - hello restartPolicy: OnFailure Contributing: Check out our contributing guide! License: Apache 2.0 with Commons Clause

Pathway's LLM (Large Language Model) Apps provide a platform to quickly deploy AI applications using the latest knowledge from data sources. The Python application examples in this repository are Docker-ready, exposing an HTTP API to the frontend. These apps utilize the Pathway framework for data synchronization, API serving, and low-latency data processing without the need for additional infrastructure dependencies. They connect to document data sources like S3, Google Drive, and Sharepoint, offering features like real-time data syncing, easy alert setup, scalability, monitoring, security, and unification of application logic.

AI File Organizer 2000 is an Obsidian Plugin that uses AI to transcribe audio, annotate images, and automatically organize files by moving them to the most likely folders. It supports text, audio, and images, with upcoming local-first LLM support. Users can simply place unorganized files into the 'Inbox' folder for automatic organization. The tool renames and moves files quickly, providing a seamless file organization experience. Self-hosting is also possible by running the server and enabling the 'Self-hosted' option in the plugin settings. Join the community Discord server for more information and use the provided iOS shortcut for easy access on mobile devices.

Neptune is a scalable experiment tracker for teams training foundation models. Log millions of runs, effortlessly monitor and visualize model training, and deploy on your infrastructure. Track 100% of metadata to accelerate AI breakthroughs. Log and display any framework and metadata type from any ML pipeline. Organize experiments with nested structures and custom dashboards. Compare results, visualize training, and optimize models quicker. Version models, review stages, and access production-ready models. Share results, manage users, and projects. Integrate with 25+ frameworks. Trusted by great companies to improve workflow.

MCPHub.nvim is a powerful Neovim plugin that integrates MCP (Model Context Protocol) servers into your workflow. It offers a centralized config file for managing servers and tools, with an intuitive UI for testing resources. Ideal for LLM integration, it provides programmatic API access and interactive testing through the `:MCPHub` command.

MemFree is an open-source hybrid AI search engine that allows users to simultaneously search their personal knowledge base (bookmarks, notes, documents, etc.) and the Internet. It features a self-hosted super fast serverless vector database, local embedding and rerank service, one-click Chrome bookmarks index, and full code open source. Users can contribute by opening issues for bugs or making pull requests for new features or improvements.

The vscode-pddl extension provides comprehensive support for Planning Domain Description Language (PDDL) in Visual Studio Code. It enables users to model planning domains, validate them, industrialize planning solutions, and run planners. The extension offers features like syntax highlighting, auto-completion, plan visualization, plan validation, plan happenings evaluation, search debugging, and integration with Planning.Domains. Users can create PDDL files, run planners, visualize plans, and debug search algorithms efficiently within VS Code.

LangChain Decorators is a layer on top of LangChain that provides syntactic sugar for writing custom langchain prompts and chains. It offers a more pythonic way of writing code, multiline prompts without breaking code flow, IDE support for hinting and type checking, leveraging LangChain ecosystem, support for optional parameters, and sharing parameters between prompts. It simplifies streaming, automatic LLM selection, defining custom settings, debugging, and passing memory, callback, stop, etc. It also provides functions provider, dynamic function schemas, binding prompts to objects, defining custom settings, and debugging options. The project aims to enhance the LangChain library by making it easier to use and more efficient for writing custom prompts and chains.

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