This repository contains implementations and illustrative code to accompany DeepMind publications

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

A Unified Library for Parameter-Efficient and Modular Transfer Learning

The Numenta Anomaly Benchmark

Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".

Seminars DeepBayes Summer School 2018

Implementation of Neural Style Transfer in Pytorch

This is a tutorial for PyTorch Geometric on the YooChoose dataset

A paraphrase generator built using the T5 model which produces paraphrased English sentences.

A neural-symbolic joint reasoning approach for Natural Language Inference (NLI). Modeling NLI as inference path planning through a search engine. Sequence chunking and neural paraphrase detection f…