Using Deep Learning to Hunt Optical Counterparts to Gravitational Wave Events
Exploring deep learning applications in astrophysics to detect optical counterparts of gravitational waves, enhancing our understanding of cosmic events and advancing telescope scheduling techniques.
Analysis of Artificial Intelligence in the Telco Sector
Explore AI's impact on telecom: from network performance monitoring to satellite communication challenges, with insights on machine learning applications and industry advancements.
Demystifying Deep Learning for Data Scientists
Uncover the inner workings of deep learning frameworks and gain foundational knowledge to confidently implement models in any framework of your choice.
Machine Learning on Encrypted Data with CrypTen
Learn to develop machine learning models on encrypted data using CrypTen, a PyTorch-based framework for secure computing. Explore feature aggregation, data labeling, dataset augmentation, and model hiding techniques.
Getting Started with Automatic Differentiation
Explore automatic differentiation in Python, its applications in optimization and computational art, using libraries like JAX, TensorFlow, and PyTorch. Gain intuition for derivatives and gradients.
Practical Deep Learning for Data Scientists
Hands-on PyTorch and GPU Deep Learning tutorial for data scientists. Build common architectures, evaluate performance, and leverage compute resources effectively. Ideal for those with ML basics seeking practical DL experience.
From NumPy to PyTorch - A Story of API Compatibility
Explore PyTorch's approach to NumPy compatibility, its importance, challenges, and necessary divergences in this insightful discussion on API design and data science workflows.
VigNET - An Intelligent Camera App That Assists You
Explore VigNET, an intelligent camera app using Vision Language Transformer to assist visually impaired users. Learn about its implementation, deployment, and open-source code for building your own visual question answering application.
Charlas - Kin Gutierrez Olivares/Federico Garza Ramirez: Nixtla: Deep Learning para pronóstico
Introducción a Nixtla, una librería de Python para pronóstico de series temporales con deep learning. Explora modelos avanzados, aplicaciones comerciales y mejores prácticas para entrenamiento y despliegue.
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.
Breaking Boundaries - Advancements in High-Performance AI/ML through PyTorch's Python Compiler
Explore PyTorch's innovative Python compiler, designed to enhance AI/ML performance while maintaining Python roots. Learn about the development process, challenges, and significant performance improvements achieved.
Query Embeddings - Web Scale Search Powered by Deep Learning and Python
Explore query embeddings in web-scale search using deep learning and Python. Learn about unsupervised techniques, vector representations, and efficient retrieval systems for improved search engine performance.
I Hate You, NLP
Explore sentiment analysis in Python, from basic semantic mapping to advanced machine learning techniques. Learn pitfalls, see hands-on code, and discover tools for accurate emotion detection in text data.
Deep Learning with Python & TensorFlow
Explore deep learning with TensorFlow: compare Python ML libraries, create data flow graphs, and learn deployment strategies for production systems.
An Introduction to Deep Learning
Comprehensive introduction to deep neural networks, covering theory, training methods, and applications in image processing, speech recognition, and text analysis.
A Gentle Introduction to Data Science
Explore data science fundamentals, from AI's influence to practical machine learning in Python. Covers key concepts, problem-solving applications, and essential Python tools for aspiring data scientists.
How Booking.com Serves Deep Learning Model Predictions
Discover Booking.com's approach to deploying deep learning models in production, covering training, automated retraining, deployment, and optimization for latency and throughput.
AI on a Pi
Explore Deep Learning with Python and MXNet, including practical demonstrations on a Raspberry Pi for computer vision and natural language processing tasks.
How to Apply Deep Learning for 3D Object Recognition
Practical guide to achieving 80% accuracy in 3D object recognition using deep learning, covering data preparation, model optimization, and implementation strategies.
An Introduction to PyTorch & Autograd
Explore PyTorch's dynamic computation graphs and Autograd package for efficient deep learning, with practical examples and insights into GPU processing and algorithmic differentiation.
Introduction to TensorFlow
Aprende los conceptos básicos de deep learning y TensorFlow, desde la instalación hasta la creación de redes neuronales, a través de ejemplos prácticos y visualizaciones amigables.