Machine Learning at Berkeley
244 posts

Machine Learning at Berkeley
@BerkeleyML
Students at UC Berkeley working on academic research, ML education, industry projects, and fostering a vibrant ML community 🧠💡

We'll be closing out this semester's Berkeley BioML Seminar on 4/28 with a talk from @antoinekoehl on PEINT, a powerful deep learning framework for both phylogenetic inference and protein engineering. Sign up below! luma.com/3fbbftwy







Wrote a deep dive on implementing a language model from scratch in JAX and scaling it with distributed training! If you’re coming from PyTorch and want to see how the same ideas look in JAX, or just want a hands-on intro to distributed training, check out this blog post: chuyishang.com/blog/2026/jax-… Comes with code + an assignment and test cases so you can follow along!






“Hop” over to our theater on Sunday, March 22 to earn how story and animation inform each other to create the world of of Disney and Pixar’s latest feature film, "Hoppers" (2026), with Pixar’s Margaret Spencer, John Cody Kim, James W. Brown, and Cody Lyon. bit.ly/4l6kXaC


We're excited to announce the second Berkeley BioML seminar of the semester happening next Tuesday 2/17! Join us for a talk by Kenny Workman (@kenbwork) from LatchBio about the performance of agents for spatial biology analysis. luma.com/f3xa3dst


I had a fun time writing a deep dive on Diffusion Language Models - with an equation walkthrough and Excalidraw sketches ✏️ In Part 1, I focused on the method: what does “noise” even mean for text, and how do DLMs denoise back into tokens? winterrykim.github.io/blog/2026/dlm-…


