Update badges in README.md after migration

Author: andreasnoack

README.md

@@ -1,9 +1,9 @@
 # FFTA: Fastest Fourier Transform in my Apartment
 ## A library by Danny Sharp
 
-[![Github Action CI](https://github.com/dannys4/FFTA.jl/workflows/CI/badge.svg)](https://github.com/dannys4/FFTA.jl/actions)
-[![](https://img.shields.io/badge/docs-stable-blue.svg)](https://dannys4.github.io/FFTA.jl/stable/)
-[![codecov](https://codecov.io/gh/dannys4/FFTA.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/dannys4/FFTA.jl)
+[![CI](https://github.com/JuliaMath/FFTA.jl/actions/workflows/ci.yml/badge.svg)](https://github.com/JuliaMath/FFTA.jl/actions/workflows/ci.yml)
+[![](https://img.shields.io/badge/docs-stable-blue.svg)](https://juliamath.github.io/FFTA.jl/stable/)
+[![codecov](https://codecov.io/gh/JuliaMath/FFTA.jl/graph/badge.svg?token=LEUDt0h3CG)](https://codecov.io/gh/JuliaMath/FFTA.jl)
 
 This is a *pure Julia* implementation of FFTs, with the goal that this could supplant other FFTs for applications that require odd Julia objects. Currently this supports `AbstractArray{T,N}` where `N` in `{1,2}` (i.e. `AbstractVector` and `AbstractMatrix`). If you're looking for more performance, checkout `FFTW.jl`. Regardless of `T`, `one(::Type{T})` must be defined. Additionally, if `T<:Real`, then `convert(::Type{T}, Float64)` has to be defined. Otherwise, `convert(::Type{T},ComplexF64)` must be defined.