NVIDIA PhysicsNeMo - An open-source Python framework for building, training, and fine-tuning physics AI models at scale. Learn more: developer.nvidia.com/physicsnemo

🚨 JUST NOW: Stephen Miller and his wife Katie Miller accompany their kids to receive candy at the White House. Katie is dressed as a skeleton and Stephen Miller is dressed as himself, which is even more scary.

When you train a model on one dataset, it usually performs poorly on data from a different source - even if the task is the same. This paper shows how to train models that automatically learn features that work across different datasets by forcing the network to be unable to

Nvidia presents TiDAR Think in Diffusion, Talk in Autoregression

🚨Lecture Notes🚨 I have decided to write lecture notes (grad level) on computational methods in economics, with a focus on ML methods. They can be found here: github.com/Mekahou/Notes Let me know if you think something specific needs to be covered or discussed in more detail.

Our full course "advanced deep learning for physics" (ADL4P) is online now at tum-pbs.github.io/ADL4P/ 😁 The course covers AI and neural network techniques for physics simulations & combinations with numerical methods. All recordings, slides and exercises are freely available!

Reminder that my course (1000 slides with screencasts) and my "little book" are available under Creative Commons. fleuret.org/dlc/

We’re opening the doors to the future for a limited window. To the student 👉 This is your shortcut. To the leader 👉 This is your briefing. To the skeptic 👉This is the proof. tinyurl.com/AQCQuantumCirc…

Sign up and share SenekaneMC @quantumyara Mukoma Eddie Francis M to the IZ-H Aurra tk Dorcas Attuabea Addo

Due to popular demand the deadline for the Physics Without Frontiers Open Call has been extended until 5th January 2026! Get in touch with us if you need help! [email protected] Please share with your networks ictp.it/home/physics-w…

Quantum ML + Conformal Prediction = ultimate combination openreview.net/pdf?id=ShkPB9O…

Material available from.the Authors' home page: www2.isye.gatech.edu/~nemirovs/

Video lectures, UC Berkeley CS 61B Data Structures fall 2025, by Peyrin Kao, Josh Hug fa25.datastructur.es/#cs-61b-fall-2… cs61b-2.gitbook.io/cs61b-textbook… .

MIT's Real Analysis 2025 by Tobias Holck Colding Lecture notes: ocw.mit.edu/courses/18-100… Videos: ocw.mit.edu/courses/18-100…

MIT's Differential Equations by Bjorn Poonen Lecture notes: math.mit.edu/~poonen/notes0…

Scientific Python lecture notes scipy-lectures.github.com

"Les Houches Lectures Notes on Tensor Networks" (by Bram Vancraeynest-De Cuiper, Weronika Wiesiolek, Frank Verstraete): arxiv.org/abs/2512.24390

Lecture slides for my "Introduction to #ComputerVision" and "#DeepLearning in Computer Vision" courses. 🆕 Gaussian Splatting 🆕 Flow Matching 🆕 Sparse Autoencoders The included videos do not contain voiceovers yet, planned for a future revision.

This repository on ML operations has free talks, books, papers and more: bit.ly/MLops Developed by ÐR. VISΞNGΞRIYΞVΛ

🚨BREAKING🚨 Zohran Mamdani will FORCE all New Yorkers to learn LaTeX.