Fine-Tuning ViT Classifier with Custom Data and Docker Inference - Part 4
Fine-tune a ViT classifier with custom data and deploy using Docker and FastAPI for efficient image classification in production environments.
Installing and Using Ollama Framework for Data Science and Machine Learning
Explore Ollama framework installation, usage, and Python integration for generating, embedding, and chatting with AI models.
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.
Deploying a Multimodal Chatbot with Gemini Pro and Streamlit on Google App Engine
Desarrolla un chatbot multimodal con Vertex AI, Gemini Pro y Streamlit, y despliégalo en Google App Engine para aplicaciones de aprendizaje automático.
Google App Engine: Deploy Machine Learning Applications in Google Cloud
Deploy machine learning applications on Google Cloud using App Engine. Learn to leverage cloud infrastructure for scalable ML solutions.
MLOps MLflow: Time Series Forecasting with SkTime and Prophet
Explore time series forecasting using SkTime and Prophet libraries in MLflow, enhancing your MLOps skills with practical implementation.
Azure AI Studio and OpenAI Studio - Python SDK for Machine Learning and Data Science
Explore Azure AI and OpenAI Studio, learn Python SDK usage, and discover practical examples for machine learning and data science applications.
10 Things You Didn't Know EF Core Can Do
Discover 10 lesser-known EF Core features that can enhance your .NET projects. Explore powerful ORM capabilities and learn how to leverage them effectively.
Blazor Hybrid - Build Hybrid Mobile, Desktop, and Web Apps with .NET MAUI
Build cross-platform native apps with web UI using Blazor components in .NET MAUI. Access native device capabilities while rendering standard web UI for Windows, Mac, iOS, and Android.
Modernizing Applications to the Cloud with AI, Scalability and Optimizations
Modernize legacy apps with Azure: migrate to cloud, scale with Flex Functions, add AI via Logic Apps, and optimize in real-time using cutting-edge tools.
BiCEP and TROUT: Objective Methods for Reanalysis of MagIC Measurement Data
Explore objective methods for reanalyzing MagIC paleomagnetic data using BiCEP and TROUT, improving interpretation of legacy data and enhancing understanding of Earth's magnetic field history.
DART: Six Months After Impact - Latest Results and Implications for Planetary Defense
Explore the latest findings from DART's asteroid deflection mission, including impact analysis, ejecta evolution, and implications for future planetary defense strategies.
Simplifying Scientific Python Package Installation and Usage in HPC Environments
Simplify scientific Python package installation in HPC environments with a new tool that reduces errors and enables sharing among users.
A Nearly Tight Analysis of Greedy k-means++
Explore the greedy k-means++ algorithm's performance, analyzing its approximation guarantees and comparing it to the original k-means++ method for solving the k-means problem.
Supply Chain Security with Go
Learn Go-specific supply chain security practices to protect your software from vulnerabilities and attacks.
The Missing Python Introduction for Scientists - Performance and Efficiency
Explore Python's internals, performance optimization, and essential scientific libraries. Learn to write efficient code and choose the right tools for scientific computing tasks.
LLVM in HPC: Enabling Performance Portability, Interoperability, and Novel Features - Part 2
Explore recent LLVM efforts for HPC: portable CUDA, debugging at scale, GPU execution of legacy codes, automatic differentiation, ML in compilers, and static information impact.
Bridging Domain Science and HPC with Julia
Explore Julia's potential in HPC, combining scientific ecosystem with high performance. Gain insights on its strengths, limitations, and notable international projects from an experienced user.
Perun: Keep Your Project's Performance Under Control
Explore Perun, an open-source tool for managing project performance. Learn to detect issues, analyze changes, and generate inputs to uncover potential vulnerabilities.
Getting Superpowers with Clojure and ClojureScript
Discover Clojure and ClojureScript's superpowers for development. Explore data-driven approaches, REPL workflow, and interoperability with JavaScript and Java. Learn about Babashka for fast startup in various scenarios.
Secure Python Development: Tips, Tricks, and Tools
Explore Python-specific security challenges and solutions, including package management, SAST, and best practices for DevOps environments.