| # A port of https://github.com/karpathy/llama2.c/blob/master/run.c | |
| # to Julia. | |
| # Jiahao Chen <[email protected]> 2023-07-29 | |
| # | |
| # MIT License: see full text at https://opensource.org/license/mit/ | |
| # | |
| using LinearAlgebra | |
| using LogExpFunctions |
| name: Documentation | |
| on: | |
| push: | |
| branches: | |
| - main | |
| - master | |
| tags: '*' | |
| pull_request: |
| d = 100 | |
| ts_ = range(0, 1, length=d+1)[2:end] | |
| Γ = SymTridiagonal([2.0ones(d-1); 1.0], -ones(d-1))/ts_[1] | |
| # Note the covariance matrix of B.M is | |
| ts = range(0, 1, length=d+1)[2:end] | |
| Γ0 = inv([min(i,j) for i in ts_, j in ts_]) | |
| @test norm(Γ0 - Γ) < 1e-7 |
| # Fit a Brownian motion with drift to and scale to | |
| # Georgia election data: | |
| # fraction of total count of votes vs difference in votes | |
| data = [0.9222672139181572 103896.10389610389 | |
| 0.9267802009311443 87662.33766233765 | |
| 0.9277217593727027 85714.28571428571 | |
| 0.9285683655966674 83116.88311688312 | |
| 0.9299797843665768 79220.77922077922 | |
| 0.9310169076206811 78571.42857142857 |
| using LinearAlgebra | |
| using Random | |
| using GaussianDistributions | |
| using GaussianDistributions: logpdf | |
| pair(u) = u[1], u[2] | |
| pair(p::Gaussian) = p.μ, p.Σ | |
| skiplast(r) = r[1:end-1] | |
| # time grid |
| module Adamopt | |
| # This is a module implementing vanilla Adam (https://arxiv.org/abs/1412.6980). | |
| export Adam, step! | |
| # Struct containing all necessary info | |
| mutable struct Adam | |
| theta::AbstractArray{Float64} # Parameter array | |
| loss::Function # Loss function | |
| grad::Function # Gradient function |
| #!/usr/bin/env julia | |
| using Luxor | |
| function makerandomepitrochoid(n) | |
| hlist = [] | |
| plist = [] | |
| for i in 1:n | |
| R = 20 | |
| r = rand(30:3:91) |
The repository for the assignment is public and Github does not allow the creation of private forks for public repositories.
The correct way of creating a private frok by duplicating the repo is documented here.
For this assignment the commands are:
git clone --bare [email protected]:usi-systems/easytrace.git
| # Test of Significance, takes the same arguments as t.test() . | |
| signif.test <- function(x, ...) { | |
| p <- t.test(x, ...)$p.value | |
| # List of p excuses retrieved from http://mchankins.wordpress.com/2013/04/21/still-not-significant-2/ | |
| p_excuses <- c( | |
| "(barely) not statistically significant <p>", | |
| "a barely detectable statistically significant difference <p>", | |
| "a borderline significant trend <p>", | |
| "a certain trend toward significance <p>", |
