This repository contains the code and implementation for the paper "BACON: Bayesian Optimal Condensation Framework for Dataset Distillation".
The main features of zhouzhengqd/bacon are: Optimization Techniques.
Open-source alternatives to zhouzhengqd/bacon 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".
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
