LU's repositories
AI-Product-Index
A curated index to track AI-powered products.
awesome-audiovisual-learning
A curated list of audio-visual learning methods and datasets.
awesome-generative-deep-art
A curated list of generative deep learning tools, works, models, etc. for artistic uses
awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
Awesome-MVS
Awesome list of multi-view stereo papers
Awesome-Parameter-Efficient-Transfer-Learning
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
Awesome-Text-to-Image
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
CVinW_Readings
A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''
human-motion-capture
collect papers about human motion capture
multimodal-ml-music
List of academic resources on Multimodal ML for Music
nerf-learn
记录nerf各种应用的学习过程
NSFC-application-template-latex
国家自然科学基金申请书正文(面上项目)模板(非官方)
OGM-GE_CVPR2022
The repo for "Balanced Multimodal Learning via On-the-fly Gradient Modulation", CVPR 2022 (ORAL)
RepAdapter
Official implementation of "Towards Efficient Visual Adaption via Structural Re-parameterization".
auto-cot
Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
edm
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
GP-CNAS
Implementation example of GP-CNAS: Convolutional Neural Network Architecture Search with Genetic Programming
GTA-Seg
Code for GTA-Seg (NeurIPS2022)
natural-instructions
Expanding natural instructions
OBC
Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".
OCD-Net
PyTorch implementation of "Learning from Students: Online Contrastive Distillation Network for General Continual Learning" (IJCAI 2022)
STM-Evaluation
Demystify Transformers & Convolutions in Modern Image Deep Networks