tevatron

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

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)

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

? RocketQA, dense retrieval for information retrieval and question answering, including both Chinese and English state-of-the-art models.

Long Range Arena for Benchmarking Efficient Transformers

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

Original Implementation of Prompt Tuning from Lester, et al, 2021

Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint