Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Reference PyTorch implementation and models for DINOv3

Taming Transformers for High-Resolution Image Synthesis

Massively parallel rigidbody physics simulation on accelerator hardware.

Model API for GALACTICA

Self-study on Larry Wasserman's "All of Statistics"

Jiminy: a fast and portable Python/C++ simulator of poly-articulated robots with OpenAI Gym interface for reinforcement learning

Minimal, lightweight JAX implementations of popular models.