ClearML

ClearML is an open-source, end-to-end platform for continuous machine learning (ML). It provides a unified platform for data management, experiment tracking, model training, deployment, and monitoring. ClearML is designed to make it easy for teams to collaborate on ML projects and to ensure that models are deployed and maintained in a reliable and scalable way.

DVC Studio is a collaboration tool for machine learning teams. It provides seamless data and model management, experiment tracking, visualization, and automation. DVC Studio is built for ML researchers, practitioners, and managers. It enables model organization and discovery across all ML projects and manages model lifecycle with Git, unifying ML projects with the best DevOps practices. DVC Studio also provides ML experiment tracking, visualization, collaboration, and automation using Git. It applies software engineering and DevOps best-practices to automate ML bookkeeping and model training, enabling easy collaboration and faster iterations.

Metaflow is an open-source framework for building and managing real-life ML, AI, and data science projects. It makes it easy to use any Python libraries for models and business logic, deploy workflows to production with a single command, track and store variables inside the flow automatically for easy experiment tracking and debugging, and create robust workflows in plain Python. Metaflow is used by hundreds of companies, including Netflix, 23andMe, and Realtor.com.

Baseten is a machine learning infrastructure that provides a unified platform for data scientists and engineers to build, train, and deploy machine learning models. It offers a range of features to simplify the ML lifecycle, including data preparation, model training, and deployment. Baseten also provides a marketplace of pre-built models and components that can be used to accelerate the development of ML applications.

Seldon is an MLOps platform that helps enterprises deploy, monitor, and manage machine learning models at scale. It provides a range of features to help organizations accelerate model deployment, optimize infrastructure resource allocation, and manage models and risk. Seldon is trusted by the world's leading MLOps teams and has been used to install and manage over 10 million ML models. With Seldon, organizations can reduce deployment time from months to minutes, increase efficiency, and reduce infrastructure and cloud costs.

Kubeflow is an open-source machine learning (ML) toolkit that makes deploying ML workflows on Kubernetes simple, portable, and scalable. It provides a unified interface for model training, serving, and hyperparameter tuning, and supports a variety of popular ML frameworks including PyTorch, TensorFlow, and XGBoost. Kubeflow is designed to be used with Kubernetes, a container orchestration system that automates the deployment, management, and scaling of containerized applications.

Lunary is an AI developer platform designed to bring AI applications to production. It offers a comprehensive set of tools to manage, improve, and protect LLM apps. With features like Logs, Metrics, Prompts, Evaluations, and Threads, Lunary empowers users to monitor and optimize their AI agents effectively. The platform supports tasks such as tracing errors, labeling data for fine-tuning, optimizing costs, running benchmarks, and testing open-source models. Lunary also facilitates collaboration with non-technical teammates through features like A/B testing, versioning, and clean source-code management.

Neptune is an MLOps stack component for experiment tracking. It allows users to track, compare, and share their models in one place. Neptune is used by scaling ML teams to skip days of debugging disorganized models, avoid long and messy model handovers, and start logging for free.

Passarel is an AI tool designed to simplify teammate onboarding by developing bespoke GPT-like models for employee interaction. It centralizes knowledge bases into a custom model, allowing new teammates to access information efficiently. Passarel leverages various integrations to tailor language models to team needs, handling contradictions and providing accurate information. The tool works by training models on chosen knowledge bases, learning from data and configurations provided, and deploying the model for team use.

MLflow is an open source platform for managing the end-to-end machine learning (ML) lifecycle, including tracking experiments, packaging models, deploying models, and managing model registries. It provides a unified platform for both traditional ML and generative AI applications.

Ascenscia is a specialized AI voice assistant designed to streamline lab digitization processes. It integrates with laboratory software and machines to enable hands-free interactions, automating data collection, optimizing workflows, and accelerating R&D cycles. Ascenscia offers features such as data accessibility, data capturing, inventory access, and additional task management. The application is designed for scientific labs, addressing concerns with precision, safety, and adaptability. It boasts high accuracy in understanding scientific terminologies, end-to-end data encryption, multi-lingual support, and customization options for different lab workflows.

Pezzo is an open-source platform that enables developers to build, test, monitor, and ship AI features quickly and efficiently. It provides a range of powerful features to streamline the workflow, including prompt management, observability, troubleshooting, and collaboration tools. With Pezzo, teams can deliver impactful AI features in sync and optimize for cost and performance.

Unsloth is an AI tool designed to make finetuning large language models like Llama-3, Mistral, Phi-3, and Gemma 2x faster, use 70% less memory, and with no degradation in accuracy. The tool provides documentation to help users navigate through training their custom models, covering essentials such as installing and updating Unsloth, creating datasets, running, and deploying models. Users can also integrate third-party tools and utilize platforms like Google Colab.

Beloga is a knowledge operating system (OS) for teams that instantly unifies tools and information, boosting productivity through seamless collaboration and real-time search. It uses AI to deliver precise, actionable insights from team data, enabling quick, informed decision-making. Beloga streamlines team workflows into a single platform, eliminating app-switching and enhancing collaboration and efficiency. It also offers multi-source integration, allowing users to easily compare and integrate data from multiple sources, revealing hidden insights. Beloga's features include hyper-contextualized key insights, seamless integration, cross-referencing made easy, and instant access to the information you need.

Keylabs is a state-of-the-art data annotation platform that enhances AI projects with highly precise data annotation and innovative tools. It offers image and video annotation, labeling, and ML-assisted features for industries such as automotive, aerial, agriculture, robotics, manufacturing, waste management, medical, healthcare, retail, fashion, sports, security, livestock, construction, and logistics. Keylabs provides advanced annotation tools, built-in machine learning, efficient operation management, and extra high performance to boost the preparation of visual data for machine learning. The platform ensures transparency in pricing with no hidden fees and offers a free trial for users to experience its capabilities.

Evidently AI is an open-source machine learning (ML) monitoring and observability platform that helps data scientists and ML engineers evaluate, test, and monitor ML models from validation to production. It provides a centralized hub for ML in production, including data quality monitoring, data drift monitoring, ML model performance monitoring, and NLP and LLM monitoring. Evidently AI's features include customizable reports, structured checks for data and models, and a Python library for ML monitoring. It is designed to be easy to use, with a simple setup process and a user-friendly interface. Evidently AI is used by over 2,500 data scientists and ML engineers worldwide, and it has been featured in publications such as Forbes, VentureBeat, and TechCrunch.

ClearML is an open-source, end-to-end platform for continuous machine learning (ML). It provides a unified platform for data management, experiment tracking, model training, deployment, and monitoring. ClearML is designed to make it easy for teams to collaborate on ML projects and to ensure that models are deployed and maintained in a reliable and scalable way.

Anote is a human-centered AI company that provides a suite of products and services to help businesses improve their data quality and build better AI models. Anote's products include a data labeler, a private chatbot, a model inference API, and a lead generation tool. Anote's services include data annotation, model training, and consulting.

HappyML is an AI tool designed to assist users in machine learning tasks. It provides a user-friendly interface for running machine learning algorithms without the need for complex coding. With HappyML, users can easily build, train, and deploy machine learning models for various applications. The tool offers a range of features such as data preprocessing, model evaluation, hyperparameter tuning, and model deployment. HappyML simplifies the machine learning process, making it accessible to users with varying levels of expertise.

Release.ai is an AI-centric platform that allows developers, operations, and leadership teams to easily deploy and manage AI applications. It offers pre-configured templates for popular open-source technologies, private AI environments for secure development, and access to GPU resources. With Release.ai, users can build, test, and scale AI solutions quickly and efficiently within their own boundaries.

Substratus.AI is a fully managed private LLMs platform that allows users to serve LLMs (Llama and Mistral) in their own cloud account. It enables users to keep control of their data while reducing OpenAI costs by up to 10x. With Substratus.AI, users can utilize LLMs in production in hours instead of weeks, making it a convenient and efficient solution for AI model deployment.

Baseten is a machine learning infrastructure that provides a unified platform for data scientists and engineers to build, train, and deploy machine learning models. It offers a range of features to simplify the ML lifecycle, including data preparation, model training, and deployment. Baseten also provides a marketplace of pre-built models and components that can be used to accelerate the development of ML applications.

GPUX is a cloud platform that provides access to GPUs for running AI workloads. It offers a variety of features to make it easy to deploy and run AI models, including a user-friendly interface, pre-built templates, and support for a variety of programming languages. GPUX is also committed to providing a sustainable and ethical platform, and it has partnered with organizations such as the Climate Leadership Council to reduce its carbon footprint.

UBIAI is a powerful text annotation tool that helps businesses accelerate their data labeling process. With UBIAI, businesses can annotate any type of document, including PDFs, images, and text. UBIAI also offers a variety of features to make the annotation process easier and more efficient, such as auto-labeling, multi-lingual annotation, and team collaboration. With UBIAI, businesses can save time and money on their data labeling projects.

Tredence is a data science and AI services company that provides end-to-end solutions for businesses across various industries. The company's services include data engineering, data analytics, AI consulting, and machine learning operations (MLOps). Tredence has a team of experienced data scientists and engineers who use their expertise to help businesses solve complex data challenges and achieve their business goals.

AI Jobs is a curated list of the best AI jobs for developers, designers and marketers. It provides a platform for companies to post their AI-related job openings and for job seekers to find their dream AI job. The website also includes a blog with articles on the latest AI trends and technologies.

Amazon SageMaker Python SDK is an open source library for training and deploying machine-learned models on Amazon SageMaker. With the SDK, you can train and deploy models using popular deep learning frameworks, algorithms provided by Amazon, or your own algorithms built into SageMaker-compatible Docker images.

MLflow is an open source platform for managing the end-to-end machine learning (ML) lifecycle, including tracking experiments, packaging models, deploying models, and managing model registries. It provides a unified platform for both traditional ML and generative AI applications.

Comet ML is a machine learning platform that integrates with your existing infrastructure and tools so you can manage, visualize, and optimize models—from training runs to production monitoring.

Comet ML is a machine learning platform that integrates with your existing infrastructure and tools so you can manage, visualize, and optimize models—from training runs to production monitoring.

Metaflow is an open-source framework for building and managing real-life ML, AI, and data science projects. It makes it easy to use any Python libraries for models and business logic, deploy workflows to production with a single command, track and store variables inside the flow automatically for easy experiment tracking and debugging, and create robust workflows in plain Python. Metaflow is used by hundreds of companies, including Netflix, 23andMe, and Realtor.com.

PyTorch is an open-source machine learning library based on the Torch library. It is used for applications such as computer vision, natural language processing, and reinforcement learning. PyTorch is known for its flexibility and ease of use, making it a popular choice for researchers and developers in the field of artificial intelligence.

Kubeflow is an open-source machine learning (ML) toolkit that makes deploying ML workflows on Kubernetes simple, portable, and scalable. It provides a unified interface for model training, serving, and hyperparameter tuning, and supports a variety of popular ML frameworks including PyTorch, TensorFlow, and XGBoost. Kubeflow is designed to be used with Kubernetes, a container orchestration system that automates the deployment, management, and scaling of containerized applications.

Apache MXNet is a flexible and efficient deep learning library designed for research, prototyping, and production. It features a hybrid front-end that seamlessly transitions between imperative and symbolic modes, enabling both flexibility and speed. MXNet also supports distributed training and performance optimization through Parameter Server and Horovod. With bindings for multiple languages, including Python, Scala, Julia, Clojure, Java, C++, R, and Perl, MXNet offers wide accessibility. Additionally, it boasts a thriving ecosystem of tools and libraries that extend its capabilities in computer vision, NLP, time series, and more.

RunPod is a cloud platform specifically designed for AI development and deployment. It offers a range of features to streamline the process of developing, training, and scaling AI models, including a library of pre-built templates, efficient training pipelines, and scalable deployment options. RunPod also provides access to a wide selection of GPUs, allowing users to choose the optimal hardware for their specific AI workloads.

Coursera is an online learning platform that offers courses, specializations, and degrees from top universities and companies. It provides a wide range of subjects, including business, computer science, data science, and more. Coursera also offers a variety of learning formats, including self-paced courses, live online classes, and guided projects. With Coursera, you can learn at your own pace and on your own schedule.

Streamlit is an open-source Python library that makes it easy to create and share beautiful and interactive web apps for data science and machine learning.

Practical Deep Learning for Coders is a free course designed for individuals with some coding experience who want to learn how to apply deep learning and machine learning to practical problems. The course covers topics such as building and training deep learning models for computer vision, natural language processing, tabular analysis, and collaborative filtering problems. It is based on a 5-star rated book and does not require any special hardware or software. The course is led by Jeremy Howard, a renowned expert in machine learning and the President and Chief Scientist of Kaggle.

SuperAnnotate is an AI data platform that simplifies and accelerates model-building by unifying the AI pipeline. It enables users to create, curate, and evaluate datasets efficiently, leading to the development of better models faster. The platform offers features like connecting any data source, building customizable UIs, creating high-quality datasets, evaluating models, and deploying models seamlessly. SuperAnnotate ensures global security and privacy measures for data protection.

OmniAI is an AI tool that allows teams to deploy AI applications on their existing infrastructure. It provides a unified API experience for building AI applications and offers a wide selection of industry-leading models. With tools like Llama 3, Claude 3, Mistral Large, and AWS Titan, OmniAI excels in tasks such as natural language understanding, generation, safety, ethical behavior, and context retention. It also enables users to deploy and query the latest AI models quickly and easily within their virtual private cloud environment.

Rationale is a cutting-edge decision-making tool powered by advanced AI technology, including the latest GPT model and in-context learning capabilities. It leverages artificial intelligence to provide users with valuable insights and recommendations for making informed decisions across various domains.

Mnemonic AI is an advanced Customer Intelligence tool that offers AI Personas and Digital Twin of the Customer. It helps organizations improve their understanding of individuals by creating data-driven buyer personas and virtual customers. The tool analyzes OCEAN Big Five Personality Traits and Schwartz Universal Values to tailor messages and marketing strategies. Mnemonic AI automates the process of creating personas and updating customer data, providing deep insights for informed decision-making.

functime is a time-series machine learning tool designed to perform forecasting at scale. It provides functions for scoring, ranking, and plotting thousands of forecasts simultaneously. With a focus on guiding users through their first end-to-end forecasting pipeline, functime serves as an AI copilot to analyze trends, seasonality, and causal factors in forecasts. The tool offers a comprehensive API reference and documentation, making it a valuable resource for both beginners and experienced analysts.

Kolank is an AI platform offering a unified API with agent interoperability, automatic model selection, and cost optimization. It enables AI agents to communicate and collaborate efficiently, providing access to a wide range of AI models for text, image, and video processing. With features like load balancing, fallbacks, and performance metrics, Kolank simplifies AI model integration and usage, making it a comprehensive solution for various AI tasks.

Promptmakr is a platform designed for buying and selling AI prompts. It serves as a marketplace where users can find and offer AI prompts for various purposes. The platform aims to connect individuals and businesses looking for AI prompts with those who create and sell them. With a user-friendly interface, Promptmakr simplifies the process of discovering, purchasing, and selling AI prompts, making it a convenient solution for both buyers and sellers in the AI industry.

StockGPT is an AI-powered financial research assistant that provides knowledge of earnings releases, financial reports, and fundamental information for S&P 500 and Nasdaq companies. It offers features like AI-powered search, customizable filters, up-to-date data, and industry research to help users analyze companies and markets more efficiently.

XenonStack is an AI application that offers a comprehensive suite of tools and services for building and managing Agentic Systems. The platform provides solutions for data management, analytics, AI transformation, and decision-making processes. With features like AI-enabled catalogs, industrial automation, and agent orchestration, XenonStack aims to empower enterprises to reimagine their business workflows and drive efficiency and agility through intelligent AI agents.

Unlearn.ai is an AI-driven platform that specializes in streamlining clinical trials through the use of AI-generated digital twins of patients. By leveraging digital twin technology and disease-specific ML models, Unlearn.ai enables researchers to design and run more efficient and impactful clinical trials across various therapeutic areas. The platform offers solutions to accelerate trial timelines, facilitate faster decision-making, and optimize trial design, ultimately enhancing trial efficiency, insights, and impact.

Discuro is an all-in-one platform designed for developers to easily build, test, and consume complex AI workflows. It integrates with GPT-3, DALLE-2, and older OpenAI models, allowing users to chain prompts together in powerful ways. With Discuro, users can define their workflows in an easy-to-use UI and execute them with a single API call. The platform enables users to build and test complex self-transforming AI workflows and data sets, monitor AI usage, and generate completions efficiently.

Google Colab Copilot is an AI tool that integrates the GitHub Copilot functionality into Google Colab, allowing users to easily generate code suggestions and improve their coding workflow. By following a simple setup guide, users can start using the tool to enhance their coding experience and boost productivity. With features like code generation, auto-completion, and real-time suggestions, Google Colab Copilot is a valuable tool for developers looking to streamline their coding process.

Zomory is an AI-powered knowledge search tool that allows users to search their Notion workspace with lightning-fast speed. It offers natural language understanding, Slack integration, conversational interface, page search, and enterprise security. Zomory is designed to provide users with instant access to the information they need, even if they are unsure of the exact keywords. It aims to revolutionize the way users search for knowledge within their workspace by combining AI technology with user-friendly features.

Lobe is a free and easy-to-use machine learning tool for Mac and PC that helps users train machine learning models and deploy them to any platform. It offers a range of features such as creating image-based datasets, managing and comparing prompts, automating workflows, and collaborating outside of code. Lobe provides a user-friendly interface for individuals and teams to leverage AI technology without extensive coding knowledge.

Aitodata.com is an AI tool designed to provide advanced data analysis solutions. The platform offers a wide range of features to help users analyze and interpret data more effectively. With a user-friendly interface, Aitodata.com aims to simplify the process of data analysis for individuals and businesses alike. The tool is known for its accuracy, efficiency, and reliability in handling complex data sets.

Sushidata Analytics is an AI-powered platform that helps companies gain a competitive edge by unifying and automating critical competitive and marketing operations data. It offers fully automated analysis of data, identifies key trends and advocates, and provides actionable insights to marketing teams. The platform assists in monitoring competition, turning customer feedback into actionable strategies, and enhancing customer experience. Sushidata prioritizes data security and offers integrations with various tools for seamless data collection and analysis.

GPT-4 Consulting is an AI tool that provides business advice and software consultation services. Users can book consultations to get advice on leveraging AI for their businesses. The tool uses advanced AI technology to generate personalized advice based on the user's input.

Weaviate is an AI-native database that developers love. It offers a feature-rich vector database trusted by AI innovators, empowering AI-native builders to create AI-powered search, retrieval augmented generation, and agentic AI applications. Weaviate simplifies the process of building production-ready AI applications by providing seamless model integration, pre-built database agents, and language-agnostic SDKs for easy development. With billion-scale architecture and enterprise-ready deployment options, Weaviate enables developers to scale seamlessly, deploy anywhere, and meet enterprise requirements. The platform is designed to help AI builders write less custom code, optimize costs, and build AI-native apps faster.

Microsoft Azure is a cloud computing service that offers a wide range of products and solutions for businesses and developers. It provides tools for AI, machine learning, databases, analytics, compute, containers, hybrid cloud, and more. Azure enables users to build, deploy, and scale AI-powered applications and agents faster, with a focus on data security and flexibility. The platform offers a pay-as-you-go model and a free trial period of up to 30 days, with no upfront commitment required. Azure aims to empower businesses to innovate and modernize their applications and infrastructure in a secure and scalable environment.

Questflow is an AI agent economy platform that enables users to automate tasks, turn user feedback into action, and build AI agent teams for various workflows. It offers a developer platform to design and deploy AI swarms, empowering teams and innovators worldwide. Questflow aims to create a multi-agent economy on-chain, connecting AI agents to all apps and allowing users to customize AI agent-powered applications. With features like autonomous task completion, on-chain incentives for builders, and tokenization of AI agents, Questflow provides a composable solution for orchestrating AI agents to work together seamlessly.

Qualifyed is an AI predictive audiences and lead scoring platform designed to help businesses optimize their advertising efforts by targeting people with the highest probability to become customers. The platform uses industry-leading machine learning systems to continuously inspect and score leads, ultimately decreasing customer acquisition costs, increasing online conversions, and improving sales team efficiency. Qualifyed offers a streamlined process of data ingestion, machine learning modeling, advertising optimization, and media execution to reach ideal customers effectively.

Chessvision.ai is an AI-powered eBook reader designed to enhance the study of chess eBooks. It utilizes Artificial Intelligence and Computer Vision to make chess books interactive, allowing users to analyze positions, add comments, search online databases, watch YouTube videos, and analyze with an engine. The application has gained popularity among chess players of all levels for its innovative approach to studying and improving chess skills.

Vectara is a conversational search demo application that provides users with the ability to interact with a search engine using natural language. The application allows users to ask questions and receive relevant search results in a conversational manner. Vectara leverages AI technology to understand user queries and provide accurate responses, making the search process more intuitive and user-friendly.

Susterra is an advanced analytics platform for Public Finance stakeholders, aiming to catalyze urban development by providing powerful insights. The platform integrates leading practices from academia, utilizes public data for creating relevant insights, and leverages technology innovations like ML and AI. Susterra offers solutions such as TerraScore, TerraVision, TerraView, and Impact IQ, enabling evaluation of public benefit programs in various sectors. The platform also provides data visualization tools and is powered by Google Cloud, offering state-of-the-art analytics for smart decision-making in the Municipal Bond Market and Smart Cities development.

Collective[i] is an AI-powered platform that helps businesses optimize their operations by leveraging data and AI technology. The platform offers solutions for sales forecasting, data cleansing, insights generation, and community building. Collective[i] focuses on revenue optimization, productivity improvement, and growth through AI-driven decision-making processes. The platform is designed to provide enterprise-level security and privacy to ensure the confidentiality and integrity of business information.

The AI SDK is a free open-source library designed to empower developers to build AI-powered products. Developed by the creators of Next.js, it offers a unified Provider API that allows users to easily switch between AI providers by changing a single line of code. With features like generative UI, framework-agnostic compatibility, and streaming AI responses, the AI SDK simplifies the process of integrating AI capabilities into applications. Trusted by prominent builders like OpenAI and Hugging Face, the AI SDK has received praise for its ease of use, speed of development, and comprehensive documentation.