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🤓
Trying to make 💻 more like 🧠!
PhD student in (neuro-inspired) Deep Learning. Also: robust / trustworthy / Bayesian DL, kernel methods, computational neuroscience. Overenthusiastic tinkerer.
Highlights
- All languages
- Assembly
- AutoHotkey
- AutoIt
- Batchfile
- C
- C#
- C++
- CMake
- CSS
- Chapel
- Clojure
- Crystal
- D
- Dart
- Dockerfile
- Emacs Lisp
- F#
- Fortran
- Gnuplot
- Go
- HTML
- Haskell
- Isabelle
- Java
- JavaScript
- JetBrains MPS
- Julia
- Jupyter Notebook
- Kotlin
- LLVM
- Lasso
- Lua
- MATLAB
- MDX
- Makefile
- Markdown
- Mathematica
- Modelica
- Mojo
- Nim
- OCaml
- Objective-C
- PLpgSQL
- Papyrus
- Perl
- PowerShell
- Python
- Q#
- QML
- R
- Ruby
- Rust
- SCSS
- Scala
- Scheme
- Shell
- Stan
- Svelte
- Swift
- Tcl
- TeX
- TypeScript
- V
- Verilog
- Vim Script
- Visual Basic .NET
- Vue
- Wikitext
- Zig
Starred repositories
3
stars
written in Stan
Clear filter
Code for modelling estimated deaths and cases for COVID19.
Bayesian inference of effective contagion models from population level data, with STAN
Stan language support for Visual Studio Code