A long-horizon, sparse-reward math environment for reinforcement learning. Official code repo for "What makes Math problems hard for reinforcement learning: A case study".

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

All notes and materials for the CS229: Machine Learning course by Stanford University

Segment Anything in Medical Images

Machine Learning and Computer Vision Engineer - Technical Interview Questions

An Open Source Implementation of Anthropic's Paper: "Towards Monosemanticity: Decomposing Language Models with Dictionary Learning"

Original code by Brett Levac

An open-source implementation of Scaling Laws for Neural Language Models using nanoGPT

This is the code corresponding to our publication introducing ConvDecoder with physics-based regularization (CD+r) for MRI

A Numerical Magnetic Resonance Imaging (MRI) Simulation Platform

Compressed sensing with deep image prior algorithm