Tristan Rice

Software Engineer - ML Infra, Modeling, Security

Hi there!

I'm Tristan Rice; Software Engineer and ML Infra specialist.

Email rice@fn.lc
GitHub https://github.com/d4l3k
Resume https://fn.lc/s/resume.pdf
LinkedIn https://linkedin.com/in/d4l3k
Keybase https://keybase.io/rice
Calendar https://fn.lc/calendar/

Recent Posts

torchdrive: Open Source + Nuscenes Support

Over the past 9 months, I’ve been rewriting my models from the ground up and open sourcing them on GitHub. The code is now fully public and available for anyone to use and modify. The majority of the code is a BSD-3-Clause license which matches other open source projects such as PyTorch. There are a few pieces with modules borrowed from other projects. This is a follow up to 3D Dynamic Objects and is part of a series where I try to train models to perform common self driving tasks from scratch.

3D Dynamic Objects - DIY Self Driving Part 5

This is a follow up to 3D Semantic Segmentation and is part of a series where I try to train models to perform common self driving tasks from scratch. I decided to switch areas of focus for this new model. Previously I had been working entirely with dense models which output dense representations about the world such as the voxel occupancy grids and the BEV semantic maps for lane lines and drivable space.

3D Semantic Segmentation - DIY Self Driving Part 4

This is a follow up to Voxel from Multicam and is part of a series where I try to train models to perform common self driving tasks from scratch. I’ve previously put together occupancy models for self driving but that’s only one specific perception task. Another common driving task is semantic segmentation. Semantic segmentation takes in the image and for every pixel predicts a specific class. This can be used to tell things like walls apart from cars or classify different types of lane lines and curbs on a road.

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