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.
Unleashing Algebraic Metaprogramming in Julia with Metatheory.jl
Explore Metatheory.jl for algebraic metaprogramming in Julia, covering e-graphs, equality saturation, and applications in symbolic computing, category theory, and compiler optimizations.
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.
Easy and Featureful Parallelism with Dagger.jl - JuliaCon 2021
Explore advanced parallelism in Julia with Dagger.jl, offering GPU execution, fault tolerance, and efficient resource utilization. Learn through practical examples and discover its powerful features.
The State of Julia in 2021 - JuliaCon Keynote
Comprehensive overview of Julia's progress in 2021, covering threading, compiler improvements, linear algebra advancements, package updates, and future development plans.
Cedar: A Composable ML Accelerated Analog Circuit Simulator
Explore Cedar, a novel Julia-based analog circuit simulator, offering composability, ML acceleration, and seamless integration with the Julia ecosystem for advanced circuit design and optimization.
Julia in VS Code - New Features and Enhancements
Explore new features in Julia VS Code extension: Jupyter integration, plot gallery, debugger improvements, and package release tools for enhanced development experience.
Survey of the Julia General Registry: Code, Documentation, and Testing
Explore Julia's General registry: package sizes, licenses, docs, tests, CI, and contributors. Learn to analyze packages with PackageAnalyzer.jl for ecosystem insights.
Pluto.jl - One Year Later: New Features and Future Plans
Explore Pluto.jl's latest features and future plans for interactive Julia notebooks, focusing on improvements in usability, package management, and export capabilities.
Changing Physics Education with Julia
Revolutionizing physics education by integrating Julia programming, focusing on nonlinear dynamics. Demonstrates how coding enhances understanding, introduces interactive applications, and discusses benefits of real-world exercises.
Julia: Great Language or the Greatest Language - Keynote by Jan Vitek
Keynote explores Julia's design, implementation, and performance, covering subtyping algorithms, type stability, and JIT compilation. Insights into language evolution and scientific programming revolution.
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.
Dictionaries.jl - Improved Productivity and Performance in Julia
Explore Dictionaries.jl for enhanced Julia productivity: alternative interface, data manipulation tools, implementation insights, and applications in tabular data with keys.
Agents.jl and the Next Chapter in Agent-Based Modelling
Explore Agents.jl for complex system modeling: learn its philosophy, simplicity, performance, interactivity, and integration with Julia ecosystem. Discover the future of agent-based modeling.
Introduction to Metaprogramming in Julia - JuliaCon 2021 Workshop
Comprehensive workshop on Julia metaprogramming, covering expressions, macros, and code generation. Ideal for intermediate users seeking to enhance their programming skills and create domain-specific languages.
Package Development: Improving Engineering Quality and Latency - JuliaCon 2021 Workshop
Aprenda a melhorar a qualidade e reduzir a latência no desenvolvimento de pacotes Julia, usando ferramentas avançadas para detectar e corrigir problemas de desempenho e robustez.
A Mathematical Look at Electronic Structure Theory - JuliaCon 2021 Workshop
Explore density-functional theory and numerical techniques for solving it using Julia. Learn about discretization, solution algorithms, and practical implementation with hands-on coding exercises.
Statistics with Julia from the Ground Up - JuliaCon 2021 Workshop
Learn statistical applications in Julia through hands-on examples, covering probability, data manipulation, plotting, and modeling. Ideal for R users transitioning to Julia for data science and machine learning.
GPU Programming in Julia - Workshop
Comprehensive workshop on GPU programming in Julia, covering CUDA, AMDGPU, and oneAPI packages. Explores array operations, kernel programming, profiling, and real-world applications across different GPU architectures.
Read and Manipulate Text Files in Julia - Week 4 Lesson 2
Learn to process text files in Julia, transforming them into word arrays and analyzing content through word and phrase counting techniques.
User-Defined Functions in Julia - Week 2 Lesson 3
Learn to create and use custom functions in Julia, enhancing your programming skills with practical examples and essential debugging techniques.