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.

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.

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.

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.

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.

Censius is an AI Observability Platform for Enterprise ML Teams. It provides end-to-end visibility of structured and unstructured production models, enabling proactive model management and continuous delivery of reliable ML. Key features include model monitoring, explainability, and analytics.

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.

DVC is an open-source version control system for machine learning projects. It allows users to track and manage their data, models, and code in a single place. DVC also provides a number of features that make it easy to collaborate on machine learning projects, such as experiment tracking, model registration, and pipeline management.

PoplarML is a platform that enables the deployment of production-ready, scalable ML systems with minimal engineering effort. It offers one-click deploys, real-time inference, and framework agnostic support. With PoplarML, users can seamlessly deploy ML models using a CLI tool to a fleet of GPUs and invoke their models through a REST API endpoint. The platform supports Tensorflow, Pytorch, and JAX models.

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.

Arcwise is a cloud-based data science platform that provides a comprehensive set of tools for data preparation, exploration, modeling, and deployment. It is designed to make data science accessible to users of all skill levels, from beginners to experts. Arcwise offers a user-friendly interface, drag-and-drop functionality, and a wide range of pre-built templates and algorithms. This makes it easy for users to get started with data science and quickly build and deploy machine learning models.

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.

TractoAI is an advanced AI platform that offers deep learning solutions for various industries. It provides Batch Inference with no rate limits, DeepSeek offline inference, and helps in training open source AI models. TractoAI simplifies training infrastructure setup, accelerates workflows with GPUs, and automates deployment and scaling for tasks like ML training and big data processing. The platform supports fine-tuning models, sandboxed code execution, and building custom AI models with distributed training launcher. It is developer-friendly, scalable, and efficient, offering a solution library and expert guidance for AI projects.

Caffe is a deep learning framework developed by Berkeley AI Research (BAIR) and community contributors. It is designed for speed, modularity, and expressiveness, allowing users to define models and optimization through configuration without hard-coding. Caffe supports both CPU and GPU training, making it suitable for research experiments and industry deployment. The framework is extensible, actively developed, and tracks the state-of-the-art in code and models. Caffe is widely used in academic research, startup prototypes, and large-scale industrial applications in vision, speech, and multimedia.

Voxel51 is an AI tool that provides open-source computer vision tools for machine learning. It offers solutions for various industries such as agriculture, aviation, driving, healthcare, manufacturing, retail, robotics, and security. Voxel51's main product, FiftyOne, helps users explore, visualize, and curate visual data to improve model performance and accelerate the development of visual AI applications. The platform is trusted by thousands of users and companies, offering both open-source and enterprise-ready solutions to manage and refine data and models for visual AI.

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.

Lobe is a free easy-to-use tool for Mac and PC that helps you train machine learning models and ship them to any platform you choose. It provides a user-friendly interface for training machine learning models without requiring extensive coding knowledge. Lobe supports various tasks related to machine learning, such as creating image-based datasets, working with Python toolsets, and deploying models on different platforms.

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.

Rationale is a cutting-edge decision-making AI tool that leverages the power of the latest GPT technology and in-context learning. It is designed to assist users in making informed decisions by providing valuable insights and recommendations based on the data provided. With its advanced algorithms and machine learning capabilities, Rationale aims to streamline the decision-making process and enhance overall efficiency.

CHAI AI is a leading conversational AI platform that focuses on building AI solutions for quant traders. The platform has secured significant funding rounds to expand its computational capabilities and talent acquisition. CHAI AI offers a range of models and techniques, such as reinforcement learning with human feedback, model blending, and direct preference optimization, to enhance user engagement and retention. The platform aims to provide users with the ability to create their own ChatAIs and offers custom GPU orchestration for efficient inference. With a strong focus on user feedback and recognition, CHAI AI continues to innovate and improve its AI models to meet the demands of a growing user base.

Cambrian Copilot is an AI tool designed for researchers and engineers to stay up-to-date with the latest machine learning research. With the ability to search over 240,000 ML papers, the tool helps users discover new research, understand complex details, and automate literature reviews. It simplifies the process of keeping track of the rapid developments in the field of machine learning.

Nexus is a Business-led Enterprise AI Platform that empowers business teams to transform their workflows into autonomous agents in a matter of days. It offers a secure, reliable, and flexible solution that enables enterprises to deploy 100x faster without involving engineering teams. Nexus provides adaptive intelligence, dynamic planning, continuous learning, and technology-agnostic intelligent automation. It allows for universal deployment, works with existing tools, and grows with businesses without increasing headcount.

Mnemonic AI is an end-to-end marketing intelligence platform that helps businesses unify their data, understand their customers, and automate their growth. It connects disparate data sources to build AI-powered customer insights and streamline marketing processes. The platform offers features such as connecting marketing and sales apps, generating AI insights, and automating growth through BI-grade reports. Mnemonic AI is trusted by forward-thinking marketing teams to transform marketing intelligence and drive confident decisions.

Functime is an AI tool specializing in time-series machine learning at scale. It offers a comprehensive set of features and functions to assist users in forecasting and analyzing time-series data efficiently. With its user-friendly interface and detailed documentation, Functime is designed to cater to both beginners and experienced users in the field of machine learning. The tool provides scoring, ranking, and plotting functions to evaluate forecasts, along with an AI copilot feature for in-depth analysis of trends, seasonality, and causal factors. Functime also offers an API reference for seamless integration with other applications.

Promptmakr is an AI-powered platform that facilitates the buying and selling of AI prompts. It serves as a marketplace where users can discover, purchase, and sell prompts to enhance their AI projects. With a user-friendly interface and robust features, Promptmakr streamlines the process of accessing high-quality prompts for various applications, from chatbots to image recognition systems. The platform ensures secure transactions and fosters a community of AI enthusiasts and professionals.

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 search, customizable filters, up-to-date data, and industry research to help users analyze companies and markets more efficiently.

DiscuroAI is an all-in-one platform designed for developers to easily build, test, and consume complex AI workflows. Users can define their workflows in a user-friendly interface and execute them with a single API call. The platform integrates with GPT-3, DALLE-2, and other OpenAI models, allowing users to chain prompts together in powerful ways and extract output in JSON format via API. DiscuroAI enables users to build and test complex self-transforming AI workflows and datasets, execute workflows with one API call, and monitor AI usage across workflows.

Pgrammer is an AI-powered platform designed to help users practice coding interview questions with hints and personalized learning experiences. Unlike traditional methods like LeetCode, Pgrammer offers a diverse set of questions for over 20 programming languages, real-time hints, and solution analysis to improve coding skills and knowledge. The platform uses AI, specifically GPT-4, to determine question difficulty levels and provide feedback on code submissions. Pgrammer aims to make coding interview preparation enjoyable and effective for both beginners and seasoned professionals.

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.

Lobe is a free easy-to-use tool for Mac and PC that helps you train machine learning models and ship them to any platform you choose. It provides a user-friendly interface for training machine learning models without requiring extensive coding knowledge. Lobe supports various tasks related to machine learning, such as creating image-based datasets, working with Python toolsets, and deploying models on different platforms.

GitHub Buoyant is an AI-powered marine data aggregator tool that fetches marine conditions from NOAA via various free APIs. It provides wave conditions, wind data, tide levels, and water temperature for coastal areas in the US. The tool offers a comprehensive marine report with detailed information on waves, wind, tides, water temperature, and weather forecasts. It includes a library for developers to integrate marine data into their own code and covers US mainland coastal waters, Great Lakes, Hawaii, Alaska, Puerto Rico, USVI, and Guam. The tool handles NOAA's data quirks and provides insights into the technical aspects of data processing and validation.

Digicurator Agency is an AI automation partner that specializes in building custom automation solutions and training teams for long-term success. They provide end-to-end services, from discovery and strategy to solution design and development, deployment, and empowerment. Their mission is to transform businesses through custom solutions and expert education, empowering clients to master automation for lasting success. The agency offers full-service solutions that employ AI-driven strategies to propel businesses to new heights.

Weaviate is an AI tool designed to empower AI builders to design, build, and ship complete AI experiences. It provides a foundation for search, retrieval augmented generation, and agentic AI. Weaviate offers production-ready AI applications, faster deployment, and seamless model integration. With billion-scale architecture and enterprise-ready deployment options, Weaviate helps AI builders scale seamlessly and meet enterprise requirements. The platform offers AI-first features under one roof, enabling users to write less custom code and build AI apps efficiently.

Microsoft Azure is a cloud computing service that offers a wide range of products and solutions for businesses and developers. It provides services such as databases, analytics, compute, containers, hybrid cloud, AI, application development, and more. Azure aims to help organizations innovate, modernize, and scale their operations by leveraging the power of the cloud. With a focus on flexibility, performance, and security, Azure is designed to support a variety of workloads and use cases across different industries.

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 machine learning to continuously inspect and score leads, providing a model of targetable individuals with a high probability of conversion. Qualifyed aims to decrease customer acquisition costs, increase online conversions, and enhance the efficiency of offline sales teams. By leveraging data and AI technology, Qualifyed offers a solution to reach ideal customers effectively and automatically.

Vectara is a conversational search API platform designed for developers, offering best-in-class retrieval and summarization capabilities. It showcases conversational search capabilities and allows users to ask questions about the news, filter by source, and explore various topics. Vectara also supports personalized data queries and offers a free trial for easy access. The platform is built with grounded generation to minimize hallucinations, providing reliable and accurate results for users.

ThirdAI is an AI platform that offers a production-ready solution for building and deploying AI applications quickly and efficiently. It provides advanced AI/GenAI technology that can run on any infrastructure, reducing barriers to delivering production-grade AI solutions. With features like enterprise SSO, built-in models, no-code interface, and more, ThirdAI empowers users to create AI applications without the need for specialized GPU servers or AI skills. The platform covers the entire workflow of building AI applications end-to-end, allowing for easy customization and deployment in various environments.

Kupiks is a platform that provides access to alternative data for prediction markets. Users can join the waitlist to get early access to real-time alternative data signals from various sources. The platform offers powerful analytics tools for data-driven decision-making and instant alerts for tracking market shifts. Kupiks aims to help users make better predictions by leveraging alternative data.

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 growth, and leverages technology and innovation, including ML and AI. Susterra offers solutions like TerraScore, TerraVision, TerraView, and Impact IQ, enabling sophisticated evaluation of public benefit programs across various sectors like Utilities, Education, Healthcare, and more. The platform also specializes in data visualization tools and is powered by Google Cloud.

CEBRA is a self-supervised learning algorithm that provides interpretable embeddings of high-dimensional recordings using auxiliary variables. It excels in compressing time series data to reveal hidden structures, particularly in behavioral and neural data. The algorithm can decode activity from the visual cortex, reconstruct viewed videos, decode trajectories, and determine position during navigation. CEBRA is a valuable tool for joint behavioral and neural analysis, offering consistent and high-performance latent spaces for hypothesis testing and label-free usage across various datasets and species.

The AI SDK is a free open-source library designed to empower developers to build AI-powered products. It offers a unified provider API, generative UI capabilities, framework-agnostic support, and streaming AI responses. The SDK has received high praise from developers for its ease of use, speed of development, and comprehensive documentation.

DecodeAI is an experimental concept for an automatic blog about AI, generated by AI and curated by humans. The blog mainly focuses on AI-related GitHub open source repositories, providing insights and updates on the latest developments in the field of artificial intelligence. Users can explore a variety of topics related to AI technology, machine learning, and automation. DecodeAI aims to bridge the gap between AI enthusiasts and developers by offering a platform for sharing knowledge and fostering innovation in the AI community.