Effective Transfer Learning for NLP - Madison May - ODSC East 2018
Explore effective transfer learning techniques for NLP, including parameter-efficient methods using sequence representations. Learn practical improvements for real-world tasks and discover the Enso library for benchmarking.
Better Tracking for Your Deep Learning Training - Wandb.ai
Explore Weights and Biases for enhanced deep learning tracking, offering improved visualization, experiment comparison, and collaborative features for more efficient model development.
ML Testing & Explainability - Full Stack Deep Learning - Spring 2021
Explore ML testing and explainability techniques to enhance model performance, build confidence, and understand limitations. Learn software testing practices, CI/CD, and interpretable AI approaches.
GitHub Actions - Branch Protection, Automated Testing - Full Tutorial
Comprehensive tutorial on GitHub Actions, covering workflows, secrets, testing, and productivity enhancements. Learn to set up automated processes and improve development team efficiency.
Photon Vectorized Execution Engine - Technical Deep Dive
Explore Photon's vectorized execution engine, learning about expression evaluation, compute kernels, runtime adaptivity, and vectorized operations for enhanced data processing efficiency.
Benchmarks and How-Tos for Convolutional Neural Networks on HorovodRunner-Enabled Apache Spark Clusters
Explore benchmarks and implementation techniques for distributed deep learning using HorovodRunner on Apache Spark clusters, focusing on CNN tasks and scaling efficiency for both GPU and CPU clusters.
Cutting Code Quickly: From 0% to Cleanly Refactored 100% Tested Code
Discover powerful techniques for efficient legacy code refactoring: combination testing, code coverage guidance, and provable refactorings. Learn to quickly achieve 100% test coverage and make impactful changes.
Applied Cryptography and Trust - Hashing
Explore hashing methods, digital certificates, password security, and key derivation in this comprehensive overview of cryptographic techniques for data integrity and authentication.
tinyML Trailblazers - Success Stories in TinyML with Thierry Moreau
Explore tinyML success stories with Thierry Moreau, discussing OctoML's journey, Apache TVM, deployment challenges, and the future of edge AI in an interactive conversation.
Learning Robust Policies for Self-Driving
Explore robust policies for self-driving vehicles, covering TransFuser for sensor fusion, PlanT for learned planning, and KING for identifying critical scenarios in autonomous driving.
tinyMLPerf: Benchmarking Ultra-low Power Machine Learning Systems
Explore benchmarking for ultra-low power ML systems, focusing on tinyMLPerf's methodology, tasks, and ecosystem impact. Learn about quantization and community-driven efforts in this emerging field.
ZigZag - An Architecture-Mapping Design Space Exploration Framework for Deep Learning Accelerator
Explore ZigZag, a framework for optimizing deep learning accelerator design through architecture-mapping space exploration, enhancing efficiency in embedded systems.
How to Create an Arduino Library - Easy
Learn to create Arduino libraries to organize code, simplify sketches, and improve development efficiency. Covers library creation process, class implementation, and practical testing.
De-risking Embedded Machine Learning Projects Using Novel Technologies
Explore novel technologies for successful embedded machine learning projects, addressing challenges and ensuring customer success through innovative design and engineering philosophies.
Automate Your SLO Validation with Prometheus and Flagger
Explore automated SLO validation using Prometheus and Flagger for Kubernetes applications. Learn how to leverage progressive delivery, canary deployments, and KEDA ScaledObjects for confident code releases.
Integrating GitOps Tools and Deployment Validation into Delivery Pipelines
Exploring challenges and solutions in integrating GitOps tools with deployment validation, observability, and testing for robust delivery pipelines, with insights on future trends.
Path to General Availability - A RabbitMQ Story for Knative Eventing
Explore Knative Eventing ecosystem and RabbitMQ implementation. Learn roadmap to GA, common pitfalls, and strategies for successful integration in event-driven architectures.
Hands-Off Feature Releases With Keptn, OpenFeature, and OpenTelemetry
Explore automated feature releases using Keptn, OpenFeature, and OpenTelemetry. Learn how to reduce risks, validate features, and streamline the deployment process in production environments.
Unified Chaos Injection and SLO Validation Experiments in Kubernetes
Explore a novel approach combining chaos injection and performance validation for Kubernetes apps, offering flexibility and simplicity in testing resilience and meeting service-level objectives.
Integrating GitOps Tools Into Delivery Pipelines - Challenges and Future Outlook
Exploring challenges and solutions in integrating GitOps tools with deployment validation, observability, and testing for robust delivery pipelines, with insights on future trends.
Chaos Engineering for Hybrid Targets with LitmusChaos
Explore vendor-agnostic chaos engineering for multi-cloud deployments using LitmusChaos. Learn to integrate continuous chaos testing in CI/CD pipelines and manage experiments from a Kubernetes control plane.