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...
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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
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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....
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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
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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
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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
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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
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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
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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
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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
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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
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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
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What the interns have wrought, 2018 edition
Yet again, intern season is coming to a close, and so it’s time to look back at what the interns have achieved in their short...
By: Yaron Minsky
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Plans for OCaml 4.08
With the external release of OCaml 4.07.0 imminent, we in Jane Street’s Tools & Compilers group have been planning what we want to work on...
By: Leo White
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Repeatable exploratory programming
Expect tests are a technique I’ve written about before, but until recently, it’s been a little on the theoretical side. That’s because it’s been hard...
By: Yaron Minsky
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OCaml all the way down
One of the joys of working at Jane Street for the last 15 or so years has been seeing how our software stack has grown...
By: Yaron Minsky
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Putting the I back in IDE: Towards a Github Explorer
Imagine a system for editing and reviewing code where:
By: James Somers
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Learn OCaml in NYC
Interested in learning OCaml? In the NYC area? Then this might be for you!
By: Yaron Minsky
