Awesome DeepBio

Awesome resources on normalizing flows, a family of powerful generative models for density estimation and generation. Includes research papers, implementations, and applications across various domains.

A curated list of awesome deep learning applications in the field of computational biology. Covers neural networks for genomics, proteomics, and drug discovery.

Papers about developing deep Graph Neural Networks, addressing challenges like oversmoothing and enabling deeper architectures for improved performance.

A curated Awesome-style collection of biological and genomics datasets, including ENCODE, EMPIAR, Ensembl Genomes, GEO, Gene Ontology, GloBI, LINCS, HGDP, HMP, ICOS PSP Benchmark, HapMap, JCB DataViewer (via BioStudies), and KEGG. Each entry links out to the primary dataset resource along with a corresponding YAML metadata file in the awesomedata/apd-core GitHub repository, making this part of a larger meta collection of Awesome data directories.

A curated meta-list of resources for biology, covering computational tools, databases, learning materials, and research resources across various biological disciplines.

A curated educational list for computer vision covering satellite imagery datasets, facial recognition research, image segmentation, SLAM, and various CV applications.