Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

OpenMMLab Detection Toolbox and Benchmark

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

The full minitorch student suite.

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ suppo…

A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)

A Deep Learning framework for CNNs and LSTMs from scratch, using NumPy.

Cloud Computing Course at the FH Campus Wien

Python Library for Linear Algebra

autokernel documentation (english version)