This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using attention-sampling

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

Everything related to the reading group.

High-quality implementations of standard and SOTA methods on a variety of tasks.

Source code for paper Classification with Costly Features using Deep Reinforcement Learning.

Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch

An IPython magic extension for printing date and time stamps, version numbers, and hardware information

Deep universal probabilistic programming with Python and PyTorch

A beautiful, simple, clean, and responsive Jekyll theme for academics

An open access book on scientific visualization using python and matplotlib

Android audio forwarding PoC (scrcpy, but for audio)