jax-fid

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Compute FID scores with PyTorch.

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Measures and metrics for image2image tasks. PyTorch.

High-fidelity performance metrics for generative models in PyTorch

From the Tensor to Stable Diffusion, a rough outline for a 1 week course.

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

Long Range Arena for Benchmarking Efficient Transformers