Kubeflow

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.

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.

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.

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.

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.

Valohai is a scalable MLOps platform that enables Continuous Integration/Continuous Deployment (CI/CD) for machine learning and pipeline automation on-premises and across various cloud environments. It helps streamline complex machine learning workflows by offering framework-agnostic ML capabilities, automatic versioning with complete lineage of ML experiments, hybrid and multi-cloud support, scalability and performance optimization, streamlined collaboration among data scientists, IT, and business units, and smart orchestration of ML workloads on any infrastructure. Valohai also provides a knowledge repository for storing and sharing the entire model lifecycle, facilitating cross-functional collaboration, and allowing developers to build with total freedom using any libraries or frameworks.

Anyscale is a company that provides a scalable compute platform for AI and Python applications. Their platform includes a serverless API for serving and fine-tuning open LLMs, a private cloud solution for data privacy and governance, and an open source framework for training, batch, and real-time workloads. Anyscale's platform is used by companies such as OpenAI, Uber, and Spotify to power their AI workloads.

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.

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.

Datature is an all-in-one platform for building and deploying computer vision models. It provides tools for data management, annotation, training, and deployment, making it easy to develop and implement computer vision solutions. Datature is used by a variety of industries, including healthcare, retail, manufacturing, and agriculture.

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.

Datumbox is a machine learning platform that offers a powerful open-source Machine Learning Framework written in Java. It provides a large collection of algorithms, models, statistical tests, and tools to power up intelligent applications. The platform enables developers to build smart software and services quickly using its REST Machine Learning API. Datumbox API offers off-the-shelf Classifiers and Natural Language Processing services for applications like Sentiment Analysis, Topic Classification, Language Detection, and more. It simplifies the process of designing and training Machine Learning models, making it easy for developers to create innovative applications.

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.

UnfoldAI is a website offering articles, strategies, and tutorials for building production-grade ML systems. Authored by Simeon Emanuilov, the site covers topics such as deep learning, computer vision, LLMs, programming, MLOps, performance, scalability, and AI consulting. It aims to provide insights and best practices for professionals in the field of machine learning to create robust, efficient, and scalable systems.

madebymachines is an AI tool designed to assist users in various stages of the machine learning workflow, from data preparation to model development. The tool offers services such as data collection, data labeling, model training, hyperparameter tuning, and transfer learning. With a user-friendly interface and efficient algorithms, madebymachines aims to streamline the process of building machine learning models for both beginners and experienced users.

LangChain is a framework for developing applications powered by large language models (LLMs). It simplifies every stage of the LLM application lifecycle, including development, productionization, and deployment. LangChain consists of open-source libraries such as langchain-core, langchain-community, and partner packages. It also includes LangGraph for building stateful agents and LangSmith for debugging and monitoring LLM applications.

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.

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.

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.

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.

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.

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.

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 but is not limited to that. It offers insights, updates, and discussions on various AI topics to keep readers informed and engaged.

Ojamu is an AI and Blockchain-powered platform that empowers brands to reach their marketing goals in the Web 3.0 economy. It provides data-driven predictions, real-time insights, and automated solutions for organic product marketing across digital channels. Ojamu's AI Product Suite includes Alphie, an advanced AI-driven 'Alpha Finder', and the Ojamu Intelligence Platform (OIP) that securely accesses industry data from leading blockchain protocols. The platform helps brands optimize decision-making, analyze data clusters, and unlock new opportunities in the Web3 realm.