• Trade-Offs in Automatic Differentiation: TensorFlow, PyTorch, Jax, and Julia http://www.stochasticlifestyle.com/engineering-trade-offs-in-automatic-differentiation-from-tensorflow-and-pytorch-to-jax-and-julia/ 73 comments 25/12/2021
• ModelingToolkit, Modelica, and Modia: The Composable Modeling Future in Julia http://www.stochasticlifestyle.com/modelingtoolkit-modelica-and-modia-the-composable-modeling-future-in-julia/ 10 comments 8/8/2021
• Useful algorithms that are not optimized by Jax, PyTorch, or TensorFlow https://www.stochasticlifestyle.com/useful-algorithms-that-are-not-optimized-by-jax-pytorch-or-tensorflow/ 28 comments 21/7/2021
• JuliaCall Update: Automated Julia Installation for R Packages https://www.stochasticlifestyle.com/juliacall-update-automated-julia-installation-for-r-packages/ 14 comments 18/1/2021
• The Essential Tools of Scientific Machine Learning http://www.stochasticlifestyle.com/the-essential-tools-of-scientific-machine-learning-scientific-ml/ 19 comments 20/8/2019
• Neural Jump SDEs (Jump Diffusions) and Neural PDEs http://www.stochasticlifestyle.com/neural-jump-sdes-jump-diffusions-and-neural-pdes/ 5 comments 5/6/2019
• Some State of the Art Packages in Julia v1.0 http://www.stochasticlifestyle.com/some-state-of-the-art-packages-in-julia-v1-0/ 2 comments 27/8/2018
• Why Numba and Cython are not substitutes for Julia http://www.stochasticlifestyle.com/why-numba-and-cython-are-not-substitutes-for-julia/ 5 comments 6/8/2018
• Algorithm efficiency comes from problem information http://www.stochasticlifestyle.com/algorithm-efficiency-comes-problem-information/ 28 comments 4/1/2018
• Some Insights from a Julia Developer http://www.stochasticlifestyle.com/like-julia-scales-productive-insights-julia-developer/ 236 comments 14/10/2017
• A Comparison of Differential Equation Solver Suites http://www.stochasticlifestyle.com/comparison-differential-equation-solver-suites-matlab-r-julia-python-c-fortran/ 39 comments 26/9/2017

• ChatGPT performs better on Julia than Python (and R) for Large Language Model (LLM) Code Generation. Why? - Stochastic Lifestyle https://www.stochasticlifestyle.com/chatgpt-performs-better-on-julia-than-python-and-r-for-large-language-model-llm-code-generation-why/ 8 comments 20/11/2023 julia
• ChatGPT performs better on Julia than Python (and R) for Large Language Model (LLM) Code Generation. Why? - Stochastic Lifestyle https://www.stochasticlifestyle.com/chatgpt-performs-better-on-julia-than-python-and-r-for-large-language-model-llm-code-generation-why/ 9 comments 19/11/2023 julia
• Direct Automatic Differentiation of (Differential Equation) Solvers vs Analytical Adjoints: Which is Better? http://www.stochasticlifestyle.com/direct-automatic-differentiation-of-solvers-vs-analytical-adjoints-which-is-better/ 3 comments 11/10/2022 julia
• Engineering Trade-Offs in Automatic Differentiation: from TensorFlow and PyTorch to Jax and Julia - Stochastic Lifestyle http://www.stochasticlifestyle.com/engineering-trade-offs-in-automatic-differentiation-from-tensorflow-and-pytorch-to-jax-and-julia/ 14 comments 25/12/2021 programming
• Engineering Trade-Offs in Automatic Differentiation: from TensorFlow and PyTorch to Jax and Julia https://www.stochasticlifestyle.com/engineering-trade-offs-in-automatic-differentiation-from-tensorflow-and-pytorch-to-jax-and-julia/ 9 comments 25/12/2021 julia
• Useful Algorithms That Are Not Optimized By Jax, PyTorch, or Tensorflow https://www.stochasticlifestyle.com/useful-algorithms-that-are-not-optimized-by-jax-pytorch-or-tensorflow/ 6 comments 21/7/2021 julia
• ModelingToolkit, Modelica, and Modia: The Composable Modeling Future in Julia - Stochastic Lifestyle https://www.stochasticlifestyle.com/modelingtoolkit-modelica-and-modia-the-composable-modeling-future-in-julia/ 3 comments 19/4/2021 julia
• Generalizing Automatic Differentiation to Automatic Sparsity, Uncertainty, Stability, and Parallelism https://www.stochasticlifestyle.com/generalizing-automatic-differentiation-to-automatic-sparsity-uncertainty-stability-and-parallelism/ 4 comments 17/3/2021 compsci
• Generalizing Automatic Differentiation to Automatic Sparsity, Uncertainty, Stability, and Parallelism - Stochastic Lifestyle https://www.stochasticlifestyle.com/generalizing-automatic-differentiation-to-automatic-sparsity-uncertainty-stability-and-parallelism/ 3 comments 10/3/2021 julia
• JuliaCall Update: Automated Julia Installation for R Packages - Stochastic Lifestyle https://www.stochasticlifestyle.com/juliacall-update-automated-julia-installation-for-r-packages/ 10 comments 18/1/2021 julia
• Why Numba and Cython are not substitutes for Julia http://www.stochasticlifestyle.com/why-numba-and-cython-are-not-substitutes-for-julia/ 36 comments 6/8/2018 programming
• A Comparison Between Differential Equation Solver Suites In MATLAB, R, Julia, Python, C, Mathematica, Maple, and Fortran - Stochastic Lifestyle http://www.stochasticlifestyle.com/comparison-differential-equation-solver-suites-matlab-r-julia-python-c-fortran/ 27 comments 27/12/2017 programming
• Some Insights from a Julia Developer http://www.stochasticlifestyle.com/like-julia-scales-productive-insights-julia-developer/ 7 comments 14/10/2017 coding