BLT (Build, Link, Test) Tutorial for HPC Software Development - 2024
Explore BLT, a CMake-based foundation for HPC applications. Learn to build, link, and test across various compilers, operating systems, and technologies for streamlined development.
Contributing to Apache Solr - Session 1
Learn how to contribute to Apache Solr with guidance from experienced committers. Explore the contribution process, best practices, and ways to get involved in this open-source search engine project.
Solr v1 and v2 APIs - Solr Bootcamp Session 2
Explore Solr v1 and v2 APIs with Solr committers, learning how to contribute to Apache Solr and understanding the differences between API versions.
Contributing to Apache Solr - Session 1
Learn how to contribute to Apache Solr with guidance from experienced committers. Explore the contribution process, best practices, and ways to get involved in this open-source search engine project.
Deploying Deep Learning Models for Inference at Production Scale
Optimize and deploy AI models at scale using NVIDIA TensorRT and Triton Inference Server. Learn production-ready techniques for efficient inference across various platforms and infrastructures.
Mission to Maturity: Deploying MLOps to Scale Machine Learning
Explore MLOps deployment for scaling machine learning at M&S, covering personalization and enterprise functions. Learn about ML maturity, testing, and monitoring for production-ready systems.
Seeing the Unseen - AI, Ethics and the Future of Transparency
Explore AI ethics, transparency, and societal impact with expert panelists. Discuss emerging dilemmas, legislation, and user experiences in AI development and implementation.
Introduction to Neural Networks
Explore neural networks, their components, and architectures. Learn about RNNs, LSTMs, and CNNs with practical examples in Python for movie review and image classification tasks.
Introduction to Python Libraries and Algorithms for Machine Learning
Explore Python libraries and algorithms for machine learning, covering regression, clustering, and classification using popular tools like Pandas.
Python 101 - Introduction to Python for Data Science
Learn Python basics for data science: explore versatile programming tools, efficient data computation, and knowledge extraction techniques.
Advanced Python Libraries for Data Science
Explore advanced Python libraries for data science, focusing on scikit-learn, TensorFlow, and PyTorch Geometric. Learn implementation, methodologies, and practical applications through code exercises.
Advanced SQL Techniques for Data Science
Expand SQL knowledge with complex conditions, functions, joins, and data engineering concepts. Learn from Facebook's Data Engineering Manager in this advanced session.
Your First Data Science Project: Planning for Success
Learn effective project management techniques for data science, covering agile and waterfall methodologies, autoML, model monitoring, and data drift to ensure successful implementation of data-driven initiatives.
Build AI-Supercharged RAG Apps with a Vector Database
Empower your apps with AI using vector databases. Learn hands-on techniques for enhanced search, generative AI integration, and improved model capabilities through open-source tools and technologies.
Visualized Git Course for Beginners and Professional Developers - 2024
Master Git and GitHub essentials, from basic commands to advanced techniques. Learn to resolve conflicts, manage branches, and handle real-world scenarios for efficient collaboration and version control.
What Does It Take to Implement the C++ Standard Library? - C++Now Edition
Explore the complexities of implementing the C++ Standard Library, including design opportunities, constraints, and user considerations. Gain insights into the unique challenges faced by library developers.
When and Why Do Efficient Algorithms Exist for Constraint Satisfaction and Beyond
Explore the mathematical structures behind efficient algorithms for constraint satisfaction problems and beyond, focusing on polymorphisms and their role in computational complexity.
How Optimization Helps Industry: Real Applications in the Era of AI and Cloud Computing
Explore real-world optimization challenges in AI and cloud computing industries, from live streaming to AI-chip design. Gain insights into mathematical representations and recent advancements.
Keynotes - Wednesday, November 2nd 2022
Explore cutting-edge insights and trends in open source technology through engaging keynote presentations from industry leaders at All Things Open 2022.
How to Get Your Website Into the Cloud
Deploy your GitHub portfolio to cloud hosting using Infrastructure as Code. Learn Terraform, avoid pitfalls, and follow best practices in this interactive workshop on cloud deployment.
Zero to Open Source Contributor - Extended Session
Learn essential skills for contributing to open source projects on GitHub. Master the basics, overcome documentation challenges, navigate PR processes, and gain confidence in submitting impactful contributions.