Troubleshooting systemd with SystemTap
When we set up a schedule on a computer, such as a list of commands to run every day at particular times via Linux cron...
Read more
Using Python and OCaml in the same Jupyter notebook
The cover image is based on Jupiter family by NASA/JPL.
By: Laurent Mazare
Read more
Deep-Learning the Hardest Go Problem in the World
Updates and a New Run
By: David Wu
Read more
Commas in big numbers everywhere: An OpenType adventure
My job involves a lot of staring at large numbers, mostly latencies in nanoseconds, and picking out magnitudes like microseconds. I noticed myself constantly counting...
By: Tristan Hume
Read more
What the interns have wrought, 2019 edition
Jane Street’s intern program yet again is coming to an end, which is a nice opportunity to look back over the summer and see what...
By: Yaron Minsky
Read more
Using OCaml to drive a Raspberry Pi robot car
Back when the Raspberry Pi was first released in 2012 Michael Bacarella wrote a blog post on using OCaml and Async on this little device....
By: Laurent Mazare
Read more
Do applied programming languages research at Jane Street!
As our Tools & Compilers team has grown, the kinds of projects we work on has become more ambitious. Here are some of the major...
By: Leo White
Read more
A look at OCaml 4.08
Now that OCaml 4.08 has been released, let’s have a look at what was accomplished, with a particular focus on how our plans for 4.08...
By: Leo White
Read more
Of Pythons and Camels
Welcome to another post in our series of how to use OCaml for machine learning. In previous posts we’ve discussed artistic style-transfer and reinforcement learning....
Read more
Thoughts from AAAI 2019
At Jane Street, for the last several years, we have been increasingly interested in machine learning and its many use cases. This is why it...
By: Loren Puchalla Fiore
Read more
Learning ML Depth-First
If you haven’t heard of it, Depth First Learning is a wonderful resource for learning about machine learning.
By: James Somers
Read more
Machining the ultimate hackathon prize
Jane Street is sponsoring this year’s MakeMIT hackathon, and we wanted to create a prize for the winners that would do justice to the maker...
By: James Somers
Read more
Accelerating Self-Play Learning in Go
At Jane Street, over the last few years, we’ve been increasingly exploring machine learning to improve our models. Many of us are fascinated by the...
By: David Wu
Read more
Playing Atari Games with OCaml and Deep Reinforcement Learning
In a previous blog post we detailed how we used OCaml to reproduce some classical deep-learning results that would usually be implemented in Python. Here...
By: Laurent Mazare
Read more
L2 Regularization and Batch Norm
This blog post is about an interesting detail about machine learning that I came across as a researcher at Jane Street - that of the...
By: David Wu
Read more
A tutorial for building web applications with Incr_dom
At Jane Street, our web UIs are built on top of an in-house framework called Incr_dom, modeled in part on React’s virtual DOM. Rendering different...
By: James Somers
Read more
How to shuffle a big dataset
At Jane Street, we often work with data that has a very low signal-to-noise ratio, but fortunately we also have a lot of data. Where...
By: Chris Hardin
Read more
Deep learning experiments in OCaml
Last year we held a machine learning seminar in our London office, which was an opportunity to reproduce some classical deep learning results with a...
By: Laurent Mazare
