A latent text-to-image diffusion model

A game theoretic approach to explain the output of any machine learning model.

This repository contains implementations and illustrative code to accompany DeepMind publications

Taming Transformers for High-Resolution Image Synthesis

PyTorch implementation of AnimeGANv2

Probabilistic reasoning and statistical analysis in TensorFlow

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Scenarios, tutorials and demos for Autonomous Driving

Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

An autonomous AI racecar using NVIDIA Jetson Nano

a framework for training sequence-level deep learning networks

Reference mapping for single-cell genomics

CELLEX (CELL-type EXpression-specificity)

HyperTraPS discrete time framework for inferring high-dimensional pathways of trait acquisition.

Find deregulated biomolecular networks

An autoencoder for single cell data.