Best AI tools for< Schedule Shifts >

Celayix is an employee scheduling software and workforce management platform that offers automated scheduling, time and attendance tracking, and shift management solutions. With features like smart rules engine, instant employee communications, and accurate time & attendance tracking, Celayix helps businesses save time, reduce costs, and improve operational efficiency.

Soon is a workforce management software that offers event-based scheduling, security features, testimonials, integrations, and more. It helps businesses create schedules that mirror their operations, automate tasks, empower schedule management, and improve employee experience. Soon also provides workload management, time off tracking, and AI-powered features like automated scheduling and feedback processes. The software aims to streamline daily activities, enhance team communication, and boost productivity.

TimeHero is an AI-powered productivity tool that offers smart task planning and work management solutions for teams and individuals. It helps users schedule, manage, and automate daily tasks, projects, and calendar events in one centralized platform. TimeHero stands out by automatically planning when to work on tasks based on availability, adjusting plans instantly when events change, tasks are completed early, or priorities shift. With features like adaptive planning, autonomous recurring tasks, smart workflow templates, built-in time tracking, automatic risk detection, and project forecasting, TimeHero streamlines work processes and enhances productivity for remote and in-office teams alike.

Ipso AI is a scheduling platform designed to help busy professionals and their assistants manage calendars and draft emails. It is powered by ChatGPT technology and offers features such as fast meeting scheduling, waitlist registration, and personalized email drafting. The platform is aimed at enhancing productivity and efficiency in scheduling tasks for users.

Reclaim.ai is an AI-powered scheduling application designed to optimize users' schedules for better productivity, collaboration, and work-life balance. The app offers features such as Smart Meetings, Scheduling Links, Calendar Sync, Buffer Time, and Time Tracking. It helps users analyze their time across meetings, tasks, and work-life balance metrics. Reclaim.ai is trusted by over 300,000 people across 40,000 companies, with a 4.8/5 rating on G2. The application is known for its ability to defend focus time, automate daily plans, and manage smart events efficiently.

Dola is an AI calendar assistant that helps users schedule their lives efficiently and save time. It allows users to set reminders, make calendar events, and manage tasks through natural language communication. Dola works with voice messages, text messages, and images, making it a versatile and user-friendly tool. With features like smarter scheduling, daily weather reports, faster search, and seamless integration with popular calendar apps, Dola aims to simplify task and time management for its users. The application has received positive feedback for its accuracy, ease of use, and ability to sync across multiple devices.

Dola is an AI-powered calendar assistant that helps you manage your schedule through messaging apps. With Dola, you can add events, edit them, and get reminders, all through natural language conversations. Dola also integrates with your existing calendar apps, so you can keep all your events in one place.

Dola is an AI-powered calendar assistant that helps you manage your schedule through messaging apps. With Dola, you can add events, edit them, and get reminders, all without having to fill out tedious forms or quote previous calendar events. Dola also supports group chats, so you can easily schedule events with friends and family. Dola is available on iOS, Android, and the web.

Postwise is an AI-powered tool designed to help users write, schedule, and grow their presence on Twitter and LinkedIn effortlessly. It acts as a personal AI ghostwriter, generating engaging and viral content within seconds. With features like GrowthTools™ suite for follower growth and tools optimized for sales, Postwise aims to streamline content creation and maximize user engagement. The tool offers simple pricing plans, transparent processes, and a user-friendly interface, making it a valuable asset for individuals and businesses looking to enhance their social media presence.

Syllaby is an AI-powered tool that streamlines the process of creating viral social media videos for businesses by assisting with ideation, content scheduling, outline and script generation, and even avatar-based video creation. It offers a systematic workflow tailored to various industries, along with features like an organizational content calendar and in-tool tutorials, making video marketing more accessible and efficient.

Boomerang for Gmail is a meeting scheduling and email management tool that helps you save time and be more productive. With Boomerang, you can schedule emails to be sent later, set reminders to follow up on messages, and pause your inbox to avoid distractions. Boomerang also includes a number of AI-powered features, such as Respondable, which helps you write better emails, and Inbox Pause, which helps you manage your email flow more effectively.

Caelus AI is an AI-powered tool that helps businesses acquire new users by monitoring keyword mentions of problems and competitors across Twitter and Reddit, and replying to them automatically. It uses natural language processing to understand the intent of each mention and respond in a personalized way, sounding like the business itself. Caelus AI also learns from the business's existing Twitter and Reddit posts to ensure that its responses are consistent with the brand's voice and tone.

TEAMCAL AI is the world's most advanced team scheduling software powered by artificial intelligence. It simplifies coordination with third parties, across companies, teams across time zones, and applications effortlessly. The application offers features such as AI scheduling in seconds, multi-team collaboration, seamless integration with existing workflow tools, and more. It is designed to streamline scheduling processes, reduce errors, and optimize operations for businesses of all sizes.

TEAMCAL AI is the world's most advanced team scheduling software powered by AI. It simplifies coordination with third parties, across companies, teams across time zones, and applications effortlessly. The application offers features like AI scheduling in seconds, multi-team collaboration, seamless integration with existing workflow tools, and integrated solutions designed for specific business use cases. With various pricing plans catering to different business needs, TEAMCAL AI aims to optimize team scheduling, reduce manual errors, and enhance productivity.

inpilot is an AI-powered platform designed to enhance content creation and management on LinkedIn. It offers a range of features such as AI-assisted writing, AI-generated posts, scheduling calendar, ideas management, statistics, and network management. The tool aims to streamline the content creation process, making it faster, more efficient, and enjoyable for users. With a focus on speed, privacy, and ease of use, inpilot provides users with a comprehensive solution to grow their LinkedIn network and achieve their business or career goals.

Tailwind is an AI-enhanced social media and email marketing tool that leverages advanced AI technology to help businesses grow their online presence and engage with their target audience effectively. The tool offers a wide range of features such as AI-generated marketing content, social design creation, scheduling and distribution across multiple networks, hashtag finder, personalized post times, and more. Tailwind is designed to simplify the marketing process for businesses by providing tailored marketing plans, personalized designs, and automated optimization, ultimately saving time and effort for users.

LaterOn is a newsletter aggregator and reader that provides a distraction-free reading experience for newsletters without flooding your inbox. It allows you to subscribe to as many newsletters as you want and will collect, summarize, and forward them to you in one email per week or month. LaterOn also has an AI companion that you can ask anything about the newsletter content.

Zivy is an AI-powered communication tool designed to help Engineering and Product Leads manage and prioritize messages effectively. It transforms the chaotic Slack environment into organized stacks of cards, ensuring that users focus on what truly matters. Zivy's AI capabilities learn user preferences, prioritize important messages, and continuously improve efficiency. The application also emphasizes data security, encrypting messages, and adhering to strict privacy standards. Zivy aims to streamline communication processes and enhance productivity by reducing noise and optimizing message delivery.

Publer is a social media management platform that allows you to collaborate, schedule, and analyze your posts on various platforms including Facebook, Instagram, TikTok, Twitter, Mastodon, LinkedIn, Pinterest, Google Business, YouTube, WordPress, and Telegram. It offers features such as AI Assist, calendar view, link in bio, workspaces, analytics, and integrations with cloud storage, Canva & VistaCreate, photo editor, RSS feeds, and browser extension.

Reclaim is an AI-powered scheduling app that helps teams optimize their time and improve productivity. It offers a range of features, including smart scheduling, task management, meeting optimization, and work-life balance tools. Reclaim integrates with popular calendar and task management apps, making it easy to manage your schedule and tasks in one place.

Recent LLM (Large Language Models)-based CV and multi-modal works.

Vertex AI is a platform for end-to-end model development. It consist of core components that make the processes of MLOps possible for design patterns of all types.

Speechless.AI is committed to integrating the superior language processing and deep reasoning capabilities of large language models into practical business applications. By enhancing the model's language understanding, knowledge accumulation, and text creation abilities, and introducing long-term memory, external tool integration, and local deployment, our aim is to establish an intelligent collaborative partner that can independently interact, continuously evolve, and closely align with various business scenarios.

RWKV is an RNN with Transformer-level LLM performance, which can also be directly trained like a GPT transformer (parallelizable). And it's 100% attention-free. You only need the hidden state at position t to compute the state at position t+1. You can use the "GPT" mode to quickly compute the hidden state for the "RNN" mode. So it's combining the best of RNN and transformer - **great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding** (using the final hidden state).

This repo contains a comprehensive paper list of **Model Quantization** for efficient deep learning on AI conferences/journals/arXiv. As a highlight, we categorize the papers in terms of model structures and application scenarios, and label the quantization methods with keywords.

ML-AI-2-LT is a repository that serves as a glossary for machine learning and deep learning concepts. It contains translations and explanations of various terms related to artificial intelligence, including definitions and notes. Users can contribute by filling issues for unclear concepts or by submitting pull requests with suggestions or additions. The repository aims to provide a comprehensive resource for understanding key terminology in the field of AI and machine learning.

Efficient Foundation Model Survey is a comprehensive analysis of resource-efficient large language models (LLMs) and multimodal foundation models. The survey covers algorithmic and systemic innovations to support the growth of large models in a scalable and environmentally sustainable way. It explores cutting-edge model architectures, training/serving algorithms, and practical system designs. The goal is to provide insights on tackling resource challenges posed by large foundation models and inspire future breakthroughs in the field.

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

The Artificial Intelligence Controller Interface (AICI) lets you build Controllers that constrain and direct output of a Large Language Model (LLM) in real time. Controllers are flexible programs capable of implementing constrained decoding, dynamic editing of prompts and generated text, and coordinating execution across multiple, parallel generations. Controllers incorporate custom logic during the token-by-token decoding and maintain state during an LLM request. This allows diverse Controller strategies, from programmatic or query-based decoding to multi-agent conversations to execute efficiently in tight integration with the LLM itself.

LongLoRA is a tool for efficient fine-tuning of long-context large language models. It includes LongAlpaca data with long QA data collected and short QA sampled, models from 7B to 70B with context length from 8k to 100k, and support for GPTNeoX models. The tool supports supervised fine-tuning, context extension, and improved LoRA fine-tuning. It provides pre-trained weights, fine-tuning instructions, evaluation methods, local and online demos, streaming inference, and data generation via Pdf2text. LongLoRA is licensed under Apache License 2.0, while data and weights are under CC-BY-NC 4.0 License for research use only.

uAgents is a Python library developed by Fetch.ai that allows for the creation of autonomous AI agents. These agents can perform various tasks on a schedule or take action on various events. uAgents are easy to create and manage, and they are connected to a fast-growing network of other uAgents. They are also secure, with cryptographically secured messages and wallets.

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

I list specific weekdays for any month in a given year.

Coordinates and optimizes staff schedules for operational efficiency.

Paste messages! Personal assistant for managing/planning schedules and tasks with Google Calendar

Paste messages! Personal assistant for managing/planning schedules and tasks with Google Calendar

I create precise, tabular schedules for businesses.

A personal assistant that organizes your agenda (with a downloadable .ics file at the end!)

Creates schedules, charts, or graphs based on user inputs.

Your go-to source for local bus schedules and route details.

Your personable and warm virtual executive assistant, adept in email, task, CRM and schedule management.

Elegantly designed to seamlessly adapt your schedule across multiple time zones.

Your personal reading schedule assistant.

Find the ultimate surf sessions in between a busy schedule

Customized React lessons fitting a 2-hour daily schedule.

Je vous aide à organiser votre emploi du temps.

Upload an image of an event poster, download the event as a .ICS file

Friendly AI assistant for practical office task guidance.

Experimental Guide to Navigating Microsoft 365 Copilot Based on Public Information from Microsoft Sources

Converts natural language time into Discord timestamp format.

Eyecare Clinical Assistant

Your virtual Chief Of Staff.