Repository Index

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

• tensorflow
• deep-neural-network
• genomics
• science

Deep probabilistic analysis of single-cell and spatial omics data

• scrna-seq
• variational-bayes
• variational-autoencoder
• cite-seq

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

• diffusion-models
• docking
• binding
• computational-biology

Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis

Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)

A Euclidean diffusion model for structure-based drug design.

• ddpm
• drug-design
• equivariance
• generative-model

The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)

• ai-for-science
• diffusion-models
• drug-design
• equivariant-networks

Solve automatic numerical differentiation problems in one or more variables.

Bi-Directional Equivariant Long-Range DNA Sequence Modeling

The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

• generative-adversarial-network
• mri-reconstruction
• computer-vision
• deep-learning

A versatile single-cell cross-modality translation method via dual-aligned variational autoencoders

Official implementation of JAMIE, Joint variational Autoencoders for Multimodal Imputation and Embedding

• autoencoder
• imputation
• integration
• multimodal