How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
This project is a curated directory of educational roadmaps and resource hubs for artificial intelligence, deep learning, and machine learning. It serves as a centralized collection of academic lectures, instructional videos, and courses designed to provide structured learning paths for AI practitioners. The directory covers specialized academic curricula across several core domains, including computer vision, natural language processing, and reinforcement learning. It also provides access to niche educational content such as medical imaging, Bayesian deep learning, and probabilistic graphica
This is the official repository for the paper Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality (ICLR 2024) by Xuxi Chen, Yu Yang, Zhangyang Wang, Baharan Mirzasoleiman.
The main features of vita-group/progressivedd are: Optimization Techniques.
Projects with overlapping indexed features include: kmario23/deep-learning-drizzle — This project is a curated directory of educational roadmaps and resource hubs for artificial intelligence, deep… he-y/multisize-dataset-condensation — [Paper] | [BibTeX]. he-y/you-only-condense-once — [Paper] [BibTeX]. khu-agi/hmdc — Official PyTorch implementation for the ECCV 2024 paper:. lyq312318224/dream — #12.06 update:. ncsu-dk-lab/acc-dd — Official implementation of "Accelerating Dataset Distillation via Model Augmentation".
