Awesome Computer Vision

An Awesome directory of deep learning resources, including frameworks, tutorials, and research papers focused on neural networks.

An Awesome-style collection of resources and research papers on diffusion models, serving as a specialized directory for this machine learning topic.

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

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 awesome-style collection of image processing and computer vision datasets, hosted under the Awesome Data (apd-core) project. The listed datasets (e.g., ImageNet, KITTI, Danbooru, DukeMTMC) are part of this meta awesome directory of specialized data resources.

A curated subset of the Awesome Public Datasets meta-collection, focusing on economics-related data sources such as macroeconomic indicators, trade statistics, productivity, corporate registries, and long-run historical series. This portion of the awesome list aggregates high‑quality, openly accessible economics datasets useful for research, data science, and policy analysis.