Welcome to my blog.
I mainly write about interesting research I am working on.
Check out my GitHub or the Projects page to see what I am doing currently.
UFLT - A first look.
uflt-showcase.mp4 Your browser does not support the video tag. UFLT (Ultra Fast Labeling Tool) Label, enhance, interpret embeddable data quickly. Why this could be interesting for you When working with unlabeled data we as researchers often times have to decide to either: spend the time tediously labeling, or spend the money / resources to get our data labeled. In my current project I had a bunch of images I needed to label – in this case classify – quickly. Not all data needed to be labeled perfectly from the get-go. So I wanted to label as I go, deciding what is worth the effort along the way. I found the tooling available to me lacking and cumbersome, so I built a tool for myself: UFLT. My guess is that others like you could also profit from this tool. ...
Multivariate Calculus and Gradient Descent
The following content has been created as part of a Lecture series @HPI Potsdam. It is copied verbatim from the respective notebook. The Notebook Show Document in new tab: math4ml-gradient-slides.html
First Post
One two three. This just tests some stuff. Lists Interesting Math: $$ \frac{1}{3} $$Code: def hello(): print("World") External Code: # /// script # dependencies = [ # "rootpath", # ] # /// import rootpath rootpath.append() print("Hello Static") External Code Relative: # /// script # dependencies = [ # "rootpath" # ] # /// import rootpath rootpath.append() print("Hello Relative")