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  1. Where state of the Art in Artificial Intelligence meet Talent
    Where State-of-the-Art in Artificial Intelligence meet Talent
  2. Arm NN, Compute Library and Arm MLIA - ML PLatform
    Arm NN, Compute Library and Arm MLIA. The machine learning platform is part of the Linaro Artificial Intelligence Initiative and is the home for Arm NN and Compute Library – open-source software libraries that optimise… · arm, learning, machine, compute, library
  3. Systems for ML
    A new area is emerging at the intersection of artificial intelligence, machine learning, and systems design. This birth is driven by the explosive growth of diverse applications of ML in production, the continued growth… · systems, workshop, learning, machine, design
  4. Welcome to Plexe - Plexe Documentation
    Build ML models from natural language in minutes · build, models, natural, language, minutes
  5. Intelligent System
    Machine learning is making the world a better place. I've worked on many Internet-scale ML systems over 15 years. I'd like to share what I learned along the way. · machine, learning, years, making, world
  6. Machine Learning Comprehension @ Home
    A BOINC distributed computing project for studying machine learning models
  7. ML Ops: Machine Learning Operations
    Being an emerging field, MLOps is rapidly gaining momentum amongst Data Scientists, ML Engineers and AI enthusiasts. Following this trend, the Continuous Delivery Foundation SIG MLOps differentiates the ML models… · software, mlops, based, models, data
  8. Azure AI | Machine Learning Studio
  9. Cloud infrastructure for machine learning at scale
    Deploy, manage, and scale machine learning models in production.
  10. Home — MLOps World
    A Uniquely Interactive Experience2nd Annual MLOps World Conference on Machine Learning in Production. Join our community of over 9,000 members as we learn best practices, methods, and principles for putting ML models into production environments.Why MLOps? MLOps World will help you put machine learning models into production environments; responsibly, effectively, and efficiently. We’ll be covering topics such as Version Management CI/CD Architecture for Model Deployment Pipeline Scheduling Optimizations Feature Engineering Feature Store Design and Maintenance Effective Data/Machine Learning Strategies New Research And more!Come share your stories and join us June 14-17thCreated in collaboration with MLOps Community.
  11. Intro — mlcourse.ai
    mlcourse.ai is an open Machine Learning course by OpenDataScience (ods.ai), led by Yury Kashnitsky (yorko). Having both a Ph.D. degree in applied math and a Kaggle Competitions Master tier, Yury aimed at designing an ML… · course, assignments, mlcourse, bonus, tier
  12. Home | CS 189/289A
    Machine learning is at the core of modern artificial intelligence, transforming how we approach problems in vision, language, robotics, recommendation systems, and countless other areas. This course introduces the… · learning, course, machine, models, including
  13. MLC LLM | Home
    MLC LLM is a machine learning compiler and high-performance deployment engine for large language models. The mission of this project is to enable everyone to develop, optimize, and deploy AI models natively on everyone’s… · llm, mlc, engine, compiler, high
  14. Machine Learning Ops | Learn how to use GitHub for automation, collaboration and reproducibility in your machine learning workflows.
    A collection of resources on how to facilitate Machine Learning Ops with GitHub.
  15. Building AI/ML Systems That Don't Suck
    A live, interactive program that'll help you build production-ready AI & Machine Learning systems from the ground up.
  16. Machine Learning with Django | Deploy Machine Learning models with Django
    Demand for Machine Learning (ML) applications is growing. Many resources show how to train ML algorithms. However, the ML algorithms work in two phases: The benefits for business are in the inference phase when ML… · algorithms, there, tutorial, system, many
  17. NewCompute
    At NewCompute, we're building foundational infrastructure for the data-centric AI movement. Sign up here to stay in the loop. At NewCompute, we're building foundational infrastructure for the data-centric AI movement. · newcompute, building, foundational, infrastructure, data
  18. MLOps Guide - Complete Tutorial on Machine Learning Operations - A guide to MLOps
    Complete MLOps guide covering ML operations tools and best practices - from conventional to modern approaches for deploying ML models in production
  19. trainingmachine.ai
  20. MACHINE LEARNING
  21. Artificial Intelligence | Machine Learning | Deep Neural Networks
    Artificial Intelligence Technology | Edge Machine Learning | Deep Neural Networks | Generative AI | ml devops
  22. Applied Algorithms for ML
    A workshop on future of computation Photo by Chris Karidis on Unsplash In this workshop, we present a series of talks on the intersection between applied algorithms and machine learning, two indispensable areas of future… · algorithms, learning, workshop, future, computation
  23. MACHINE LEARNING - HBLAB'S AI
    Một blog về Machine Learning, được thực hiện bởi team AI thuộc công ty HBLab
  24. DeepLearning.AI
    To Grow and Connect the Global AI Community
  25. ML in Production - Best practices for building real world machine learning systems
    Best practices for building real world machine learning systems
  26. MLOne | AI/ML operations without DevOps
    Focus on building and improving models rather than worrying about the environment setup, containerization or modification code for production · code, production, jupyter, create, automatically
  27. MACHINE LEARNING-READY
    MACHINE LEARNING-READY dein einstieg für eine karriere im bereich data science die folgenden ANGEBOTE erhältst Du NUR HIER auf der Website. um eines der angebote zu nutzen, gib entweder bei udemy den gutschein code… · den, für, angebote, auf, bei
  28. TowardsMachineLearning – Hold your horses, AI is coming.
    This blog post contains articles related to ML, Natural Language Processing (NLP), Deep Learning, Computer Vision Applications, etc. We’ve tried our bit to simplify ML Algorithms for you. Useful articles about various… · learning, cloud, towardsmachinelearning, knowledge, articles
  29. Supervisely: Curate, Label and Build Production Models in One Platform
    Annotate images, videos, LiDAR and DICOM datasets, collaborate and train neural networks with world class ecosystem for AI
  30. Fellowship.AI
    Build scalable ML models and apply the latest research in deep and reinforcement learning with a fully remote, interactive program. Get mentored by experienced ML practitioners, pair program with fellows, and commit… · program, time, collaboration, build, scalable
  31. Apache TVM Documentation — tvm 0.23.dev0 documentation
    Welcome to the documentation for Apache TVM, a deep learning compiler that enables access to high-performance machine learning anywhere for everyone. TVM’s diverse community of hardware vendors, compiler engineers and ML… · tvm, community, learning, compiler, performance
  32. The Science of Machine Learning & AI
    Machine Learning Mathematics, Data Science, Computer Science
  33. C4ML 2026 - Compilers for Machine Learning
    7th C4ML Workshop at CGO 2026. Forum for researchers and practitioners in machine learning compilers, hardware mapping, and optimization.
  34. Index of /
  35. Back to Cognizant AI Lab
    AI research is at an exciting stage, where decades of progress are now applied at an enterprise scale. We see Decision AI as the next major leap, going beyond predictions to prescribe real-world actions. Our research… · learning, evolutionary, research, scale, see
  36. Home — MLOps World
    A Uniquely Interactive Experience2nd Annual MLOps World Conference on Machine Learning in Production. Join our community of over 9,000 members as we learn best practices, methods, and principles for putting ML models into production environments.Why MLOps? MLOps World will help you put machine learning models into production environments; responsibly, effectively, and efficiently. We’ll be covering topics such as Version Management CI/CD Architecture for Model Deployment Pipeline Scheduling Optimizations Feature Engineering Feature Store Design and Maintenance Effective Data/Machine Learning Strategies New Research And more!Come share your stories and join us June 14-17thCreated in collaboration with MLOps Community.
  37. Machine Learning - Deep Learning, Artificial Intelligence, Computer Vision Technologies
    Deep Learning, Artificial Intelligence, Computer Vision Technologies
  38. Deep-ML
    Practice Machine Learning and Data Science problems Master core ML concepts and algorithms. Explore advanced neural network architectures. · data, problems, practice, machine, learning
  39. ヤロミル
    MACHINE LEARNING & AI
  40. predictoor.ai
  41. The Batch | DeepLearning.AI | AI News & Insights
    Stay updated with weekly AI News and Insights delivered to your inbox ✨ New course! Enroll in Semantic Caching for AI Agents Stay updated with weekly AI News and Insights delivered to your inbox · stay, updated, weekly, news, insights
  42. WFVML '24
    [Proposal] About This Workshop As data and computing infrastructures become increasingly abundant, machine learning (ML) systems are applied to ever more problems. However, for safety-critical domains, their high performance alone is not enough: applications like autonomous driving, robotics
  43. machinelabs.ai
  44. learnsmarter.ai
  45. ML Blog by Lamarr Institute
    Explore AI trends, master ML basics, and dive into real-world use cases – authored by the scientists shaping the field. Insights for all levels.
  46. Pretrained.ai — Hosted, Managed Pretrained Machine Learning Model APIs
    Integrate pretrained machine learning models into your application in minutes. Configure and deploy your own hosted API endpoints to process text, images, and other data using state-of-the-art machine learning.
  47. Using AI to advance our knowledge of how IDPs function
    We have new projects looking at the development of machine learning and artificial intelligence (ML/AI) tools for end-to-end biological programming. The project is being supported under the auspices of the US Department… · biological, end, design, applications, looking
  48. Machine Teaching
    This website is created to provide an overview of Machine Teaching research. Machine Teaching is an emerging sub-field of AI, with connections to diverse applications in the domains of computational education and… · machine, teacher, teaching, goal, training
  49. Croma A.I. Studio
    We train A.I. models and develop machine learning applications for your business. We train A.I. models and develop machine learning applications for your business. At Croma we are passionate about helping you embrace… · business, train, models, machine, learning
  50. GOAT.AI - Research Lab
    We demonstrate that smaller models with appropriate datasets and reinforcement learning can outperform larger models on various tasks. We focus on training compact but solid models for solving domain specific tasks We're… · models, tasks, frontier, demonstrate, smaller