This is the official repository for the "doggo dot jl" YouTube channel (fka "julia for talented amateurs").
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Updated
Jan 2, 2024 - HTML
Julia is a high-level dynamic programming language designed to address the needs of high-performance numerical analysis and computational science. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.
This is the official repository for the "doggo dot jl" YouTube channel (fka "julia for talented amateurs").
Demos for "Linear Algebra for DS, ML, and SP" book
Chapter notes and exercise solutions for Reinforcement Learning: An Introduction by Sutton and Barto
Julia is a high-level, high-performance, dynamic programming language. While it is a general-purpose language and can be used to write any application, many of its features are well suited for numerical analysis and computational science.
Learn Julia workflows for data-intensive research
Workshop on Optimization Techniques for Data Science in Python and Julia
About Course webpage for UCLA Biostat 257 (Computational Methods for Biostatistical Research)
Julia Code for the Introductory "Julia Por un Novato" threads
Pseudo-spectral simulation of fully-periodic two-dimensional incompressible Navier-Stokes flows in Julia, via FFTW.jl and DifferentialEquations.jl
Iris dataset and data analysis with julia language.
Información sobre las votaciones de medidas legislativas de Puerto Rico.
Simple simulation of epidemic disease spread.
Molecular biology-related analysis with a focus on yeast strains used in the AcubeSAT nanosatellite
This repo hosts the notes and tutorials related to natural language processing in the format of blogging.
Using Machine Learning and Optimization to optimize the San Francisco bike sharing dock allocation
Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
Released February 14, 2012