PyTorch and the Journey in Open Source - Keynote by Soumith Chintala
Soumith Chintala discusses PyTorch's journey, principles, and ecosystem, exploring its development, community impact, and future directions in deep learning and open-source collaboration.
JuliaSim: Machine Learning Accelerated Modeling and Simulation
Explore JuliaSim: Accelerate modeling and simulation with machine learning. Learn about fast differential equation solvers, neural network integration, and surrogate models for enhanced computational efficiency.
Tomographic Image Reconstruction with Julia
Explore Julia's capabilities for tomographic image reconstruction, focusing on large-scale inverse problems and matrix-free methods. Learn about package ecosystems for different imaging techniques.
Transformations - Composability and Linearity in Computational Thinking - Lecture 4
Explore composability and linearity in transformations, focusing on image processing applications and advanced Julia programming techniques for vector-valued functions and linear/nonlinear transformations.
Transformations and Automatic Differentiation in Computational Thinking - Lecture 3
Explore transformations and automatic differentiation in Julia, covering linear and non-linear transformations, function types, and applications in machine learning, with practical examples and visualizations.
Transforming Images and Image Processing Techniques - Lecture 2
Explore image transformation techniques using Julia, including downsampling, linear combinations, convolutions, and filters. Learn about complexity, GPUs, and data structures in computational thinking.
Introduction to Arrays and Images in Computational Thinking - Lecture 1
Explore computational thinking through image manipulation and array operations in Julia, with hands-on examples and an introduction to abstraction concepts.
Seam Carving: Live Coding Session - MIT 18.S191 Fall 2020 - Week 2
Live coding session demonstrating seam carving algorithm implementation in Julia, covering energy calculation, seam generation, and image manipulation techniques for content-aware image resizing.
Seam Carving and Dynamic Programming - Week 2 - MIT Fall 2020
Explore seam carving algorithm for intelligent image resizing, covering edge detection with gradients and optimal path finding using dynamic programming.
Convolutions in Image Processing - MIT 18.S191 Fall 2020 - Week 1
Explore image processing convolutions, from basic blurs to edge detection, using Julia. Learn about kernels, computational complexity, and connections to Fourier transforms.
Interval Methods for Scientific Computing in Julia
Explore interval methods for scientific computing in Julia, focusing on constraint propagation, global optimization, and root finding using IntervalConstraintProgramming.jl and IntervalArithmetic.jl packages.
Flux - The Elegant Machine Learning Library for Julia
Explore Flux, an intuitive machine learning library for Julia, featuring state-of-the-art performance, automatic differentiation, and innovative compiler technology for efficient and flexible ML development.
Photoshop 2022 Crash Course - Tutorial for Complete Beginners
Comprehensive tutorial covering essential Photoshop skills for beginners, from basic tools to advanced techniques like masking, retouching, and adding effects.
Windows 10 Tutorial - Windows Guide + Windows 10 Tips
Comprehensive guide for Windows 10 beginners, covering essential features, settings, and customization options to boost productivity and user experience.
Deep Learning Indepth Tutorials With Krish Naik
Comprehensive deep learning tutorial covering key concepts, techniques, and practical implementations, from perceptrons to CNNs, with hands-on examples and expert insights.
Saving Lives Behind the Wheel - Artificial Intelligence and Computer Vision for Road Safety
Explore AI and computer vision's role in enhancing road safety through real-time edge-based deep learning systems, addressing challenges and leveraging technological trends to reduce traffic fatalities.
Natural Language Processing in Mental Health
Explore how natural language processing can extract mental health indicators from everyday language, aiding neuropsychiatry while considering potential risks and ethical implications.
DataOps for the Modern Computer Vision Stack
Explore DataOps for computer vision, addressing key challenges and principles. Learn about pipeline implementation, data management, and future trends in modern CV stacks.
Introduction to Power Virtual Agents
Learn to create powerful chatbots without coding using Power Virtual Agents. Master topics, entities, knowledge bases, and deployment across channels for enhanced customer relations.
Introduction to Convolutional Neural Networks with TensorFlow
Learn to build and implement convolutional neural networks for image classification using TensorFlow. Gain hands-on experience in deep learning techniques for computer vision tasks.
Designing Your Organization for AI and Analytics Success
Discover key organizational foundations for AI and analytics success: organizational design, data strategy, and technology implementation. Learn proven methods to boost project success rates.