Distributed Parametric Optimization with the Geneva Library
Explore Geneva, an open-source library for distributed optimization algorithms, leveraging Boost libraries to solve large-scale parametric problems on multi-core systems, clusters, and cloud environments.
No Raw std::thread! - Live Tweet Analysis in C++
Explore concurrent algorithms for complex interactions in C++ using a live tweet analysis app. Learn to apply algorithms for values distributed in time and space without raw std::thread.
Future of C++ Programming with AI Bots at Hand
Explore the impact of AI on C++ development, examining challenges, opportunities, and future implications. Learn from AI-generated code mistakes and prepare for the evolving landscape of software creation.
Modernizing Compiler Design for Carbon Toolchain
Explore modern compiler design for Carbon, focusing on data-oriented approaches and innovative techniques to achieve unprecedented compile times for C++-like languages.
East Meets West When Translating Django Apps
Aprenda a traduzir aplicativos Django para vários idiomas, incluindo detecção de idioma, roteamento de URL, arquivos de tradução e marcação de strings. Inclui dicas para traduzir o site de administração do Django.
Ray - A System for High-performance, Distributed Python Applications
Explore Ray, an open-source framework for scaling Python applications from laptops to clusters, focusing on ML/AI performance challenges and its key features for distributed computing.
Yin Yang Ranch - Building a Distributed Computer Vision Pipeline Using Python
Explore building a distributed computer vision system for farm management using Python, OpenCV, and ZMQ. Learn about image processing, sensor integration, and IoT network development for agricultural applications.
Implementing Ethics - Developing Trustworthy AI
Discover a UX framework for developing ethical AI systems that are accountable, de-risked, respectful, secure, honest, and usable. Learn practical steps to implement ethics in AI development.
Natural Language Processing in Python - From Zero to Hero
Comprehensive introduction to NLP in Python, covering traditional approaches, advanced concepts, and state-of-the-art language models. Includes practical applications and performance-boosting techniques.
Building Interactive Applications for Image Data
Interactive Python tools for image processing, combining Dash for web apps and scikit-image for advanced algorithms. Explore, annotate, and analyze scientific and business images efficiently.
The Joy of Creating Art with Code
Explore the fusion of art and code through generative algorithms, creating autonomous aesthetic forms using Processing and PyCairo. Learn about randomness, shapes, and advanced techniques like fractals and genetic algorithms.
The Limitations and Danger of Facial Recognition
Explores ethical concerns, biases, and societal impacts of facial recognition technology, emphasizing the need for responsible development and deployment in various applications.
Sorry, Could You Repeat That Again? - Speech Recognition with Python
Explore speech recognition systems and develop an isolated word recognition system in Python, with insights into real-world applications and advanced techniques.
Magical NumPy with JAX
Explore JAX's NumPy-compatible API for performant numerical modeling and gradient-based optimization. Learn functional programming, deterministic random number generation, and neural network integration.
CHARLAS / María José Meneses / Restauración de imágenes multiespectrales con GAN
Método de restauración basado en GAN para imágenes multiespectrales con corrupciones aleatorias, generando resultados visualmente aceptables y preservando datos valiosos.
Patterns of ML Models in Production
Explore ML model deployment patterns for production, covering online serving, offline processing, and scalable frameworks like Ray Serve, with insights from 100+ user interviews.
Reconocimiento de Figuras con Visión Artificial
Aprende a identificar figuras y elementos usando OpenCV para visión artificial. Explora algoritmos de procesamiento de imágenes y sus aplicaciones en industria, salud y control de calidad.
Assessing and Mitigating Unfairness in AI Systems
Learn to assess and mitigate fairness issues in AI systems, focusing on healthcare disparities. Hands-on practice with Fairlearn library to evaluate and improve ML model performance across racial groups.
Charlas - Alison Orellana Rios: OCR, Reconocimiento y obtención de información a través de imágenes
Explora el reconocimiento de patrones y texto en imágenes usando OpenCV y Tesseract con Python. Aprende técnicas de visión artificial aplicables en industrias como automoción, robótica y procesamiento de datos.
Intro to Hugging Face - Fine-Tuning BERT for NLP Tasks
Hands-on tutorial for fine-tuning BERT models using Hugging Face and PyTorch. Learn to adapt pre-trained NLP models for sentiment analysis, gaining practical skills in deep learning and confidence in navigating open-source tools.
Approaches to Fairness and Bias Mitigation in Natural Language Processing
Exploring fairness and bias mitigation in NLP models, discussing detection methods, mitigation strategies, and tools to ensure equitable results in language understanding and generation applications.