Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper

A Julia package for fitting VAEs to single-cell data using count distributions.

This is the repository that accompanies the paper "Assessing the power of deep generative models for learning joint embeddings of single-cell multi-omics data."

A repository for explaining feature attributions and feature interactions in deep neural networks.

Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other scientific publications.

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"

Formalizing and benchmarking open problems in single-cell genomics

Python sample codes for robotics algorithms.

Baseline method for sound event localization task of DCASE 2020 challenge

Deep probabilistic analysis of single-cell and spatial omics data

Plotly helps leading organizations close the gap between Data Science and the rest of the organization. We make it easy to create, deploy, and share interactive web apps, graphs, and visualizations…

An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection

Useful links of different content related to AI, Computer Vision, and Robotics.

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.