Pytorch Image Captioning Tutorial
Learn to build an image captioning system from scratch using PyTorch, covering CNN and RNN implementation, training setup, and evaluation on the Flickr8k dataset.
Complete Pytorch Tensor Tutorial - Initializing Tensors, Math, Indexing, Reshaping
Comprehensive tutorial on PyTorch tensors covering initialization, math operations, indexing, and reshaping. Essential foundation for deep learning with practical examples and useful operations.
Pytorch DCGAN Tutorial
Implement a DCGAN in PyTorch to generate new MNIST digits. Learn GAN fundamentals, architecture, and training techniques through hands-on coding and visualization.
How to Install Detectron2 for Computer Vision with OpenCV Python - Part 2
Step-by-step guide to installing Detectron2 for computer vision projects using OpenCV and Python, covering essential requirements, software setup, and testing procedures.
New Approaches to Image and Video Reconstruction Using Deep Learning
Explore cutting-edge deep learning techniques for image and video enhancement, including colorization and resolution improvement, using efficient PyTorch-based tools trainable on a single GPU.
Content Understanding at Facebook - F8 2018
Explore Facebook's innovative platforms for content understanding, enhancing experiences for billions through media and video analysis, model efficiency, and advanced technologies.
Introducing PyTorch 1.0 - A Research-Focused, Production-Ready Deep Learning Framework
Explore PyTorch 1.0, a powerful deep learning framework that bridges research and production, accelerating AI development with innovative features and tools.
Bits of Image Processing You Should Know
Discover 8 essential image processing algorithms applicable beyond images. Learn thresholding, motion detection, filtering, convolution, edge detection, and morphological operations.
Healthy Code for Healthy Teams - Building Robust and Flexible Research Codebases
Explore the connection between healthy teams and code, focusing on improving codebase health through type annotations and runtime type checking for JAX arrays in research environments.
Applied Machine Learning in Blockchain-Based Technologies
Explore machine learning applications in cryptocurrency and NFTs, analyzing blockchain technology through deep learning models and discussing ML solutions for enhanced blockchain security.
Solving High-Dimensional Partial Differential Equations Using Deep Learning
Explore deep learning algorithms for solving high-dimensional PDEs, overcoming dimensionality challenges in scientific computing applications.
Troubleshooting Unstructured Data with Embeddings
Explore embedding techniques for troubleshooting unstructured data models, gaining insights into internal representations and improving ML workflows.
Lost and Found in Translation - An Intro to ML Assisted Decompilation and Deobfuscation
Explore ML-assisted decompilation and deobfuscation, covering large language models, neural machine translation, and their applications in reverse engineering and security auditing.
Breaking Black-Box AI
Exploring failure cases of popular AI algorithms through live demos, revealing limitations and silent failures of black-box AI systems to help developers use them more effectively.
A Friendly Introduction to Deep Learning for Computer Vision
Explore deep learning for computer vision, from basic concepts to advanced neural networks, with easy-to-understand examples and PyTorch demonstrations.
Tracing the Path to Self-adapting AI Agents
Discover how Trace, a groundbreaking AutoDiff-like framework, enables end-to-end training of AI workflows using general feedback, revolutionizing how AI agents learn and adapt through Python-based implementation.
Convolution of Periodic Multiplicative Functions and the Divisor Problem
Delve into advanced number theory concepts focusing on periodic multiplicative functions, their convolutions, and applications to the classical divisor problem in mathematics.
vLLM - Servidor Especializado en Inferencia de LLMs
Descubre cómo implementar y optimizar servidores de inferencia LLM con vLLM, una tecnología especializada para el procesamiento eficiente de modelos de lenguaje a gran escala.
Memory Optimization Techniques for On-Device Large Language Models
Discover advanced memory optimization techniques for deploying large language models on devices with limited resources, focusing on key-value caching and dynamic compression methods.
Deploying GenAI on Edge Devices with ExecuTorch - Technical Overview
Discover how to deploy machine learning models on edge devices using ExecuTorch, featuring insights on memory optimization, hardware compatibility, and efficient model conversion techniques.
Spatial Modeling of Single-Cell Data Using Deep Learning
Explore deep learning approaches for spatial modeling of single-cell data, focusing on Hi-C reads imputation and transcriptomic data prediction through graph-based methodologies.