Interoperability between R and Other Languages
Explore techniques for integrating R with other programming languages, leveraging R's statistical libraries while developing in preferred environments. Learn about various interoperability options and tools.
Machine Learning Using Kubeflow and Kubernetes
Explore machine learning workflows on Kubernetes using Kubeflow, covering deployment, training, inference, and advanced features like hyperparameter tuning and automated pipelines.
Machine Learning at LinkedIn
Explore LinkedIn's approach to scaling AI and ML systems, focusing on improving productivity and accessibility for engineers across product groups.
Extracting the Amplitude Envelope Feature From Scratch in Python
Aprenda a extrair a envoltória de amplitude em Python usando Librosa, implementando-a do zero e analisando diferenças entre gêneros musicais através de processamento e visualização de áudio.
The Calysto Scheme Project - Integrating Scheme with Python
Explore Calysto Scheme: a Scheme-to-Python project with call/cc support, syntactic extensions, and Python interoperability. Learn its applications in education and beyond.
MLOps: From Jupyter to Production - Conf42 ML 2024
Learn to transition machine learning projects from Jupyter notebooks to production environments, covering MLOps best practices and real-world implementation strategies.
An Innovative Approach to Giving Back to Open Source Projects That Power Your Business
Explore an innovative approach to corporate open source contribution through RBC's partnership with MLH, supporting JupyterLab-Git development and fostering future tech talent.
GitOps, CI/CD, and MLOps - How It All Comes Together for Developers
Explore GitOps, CI/CD, and MLOps integration in OpenShift development workflows. Learn to leverage Jupyter Notebooks, OpenShift Pipelines, and ArgoCD for efficient intelligent application management.
Python and Data Storytelling to the Rescue: Avoiding Deaths by PowerPoint
Explore innovative Python tools and data storytelling techniques to create engaging, impactful presentations. Learn to combine interactivity and memorability for more effective communication.
Drive Rapid PowerShell Adoption Using Jupyter Notebooks
Discover how Jupyter Notebooks can accelerate PowerShell adoption and enhance your scripting skills in this insightful conference talk.
Building an ML Experimentation Platform for Easy Reproducibility
Learn to build an ML experimentation platform using lakeFS for version control and reproducibility. Explore creating frameworks, reproducing iterations, and building intuitive infrastructure with open-source tools.
Hands-on Python: Analysis and Prediction of Bangalore House Price Data
Analyze and predict Bangalore house prices using Python, gaining practical data analysis skills for real estate market insights.
Document Summarization: Langchain Summarization Chains, Clustering and LLMs
Explore document summarization using Langchain, Hugging Face Transformers, and clustering techniques for efficient text analysis and insights.
Azure AI Computer Vision OCR: Image and Document Intelligence Services
Aprende a utilizar Azure AI Services para OCR de imágenes y documentos con Computer Vision y Document Intelligence.
Langchain Document Summarization Using Fine-Tuned T5 and Clustering
Aprenda a utilizar Langchain para resumir textos usando T5 ajustado e clustering, com demonstração prática e notebooks disponíveis.
Improving LLM Accuracy with Monte Carlo Tree Search
Explore Monte Carlo Tree Search to enhance LLM accuracy, focusing on boosting Llama 3 8B performance. Learn implementation, testing, and limitations through code examples and mathematical problem-solving.
Hands-on Teaching with Jupyter Notebooks on nanoHUB
Explore hands-on teaching using Jupyter Notebooks on nanoHUB for chemistry courses. Learn to create interactive simulations, visualizations, and programming projects for enhanced student engagement and learning.
Segment Anything Model 2 (SAM 2) - Advanced Image and Video Segmentation
Explore Meta AI's advanced image and video segmentation model SAM 2, its capabilities, and implementation for zero-shot object segmentation tasks.
Jupyter Notebook: Cryptography Fundamentals
Explore cryptography fundamentals using interactive Jupyter Notebooks. Learn key concepts and practical applications through hands-on coding exercises and demonstrations.
Python and Data Storytelling - Avoiding Deaths by PowerPoint
Explore innovative Python tools and data storytelling techniques to create engaging, interactive presentations that captivate audiences and enhance information retention.
Let's Talk Python: How to Program a Computer - From Fundamentals to Python Basics
Learn Python programming from scratch: explore computer basics, coding fundamentals, and essential Python concepts like variables, loops, and data manipulation using Jupyter notebooks on nanoHUB.