IronMan's repositories
teaching-where-to-look
Official Implementation of the ECCV 22 paper, "Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition".
awesome-3D-Diffusion
This is the first 3D Diffusion repository in github. I will share with you the new technology in 3D Diffusion area.
awesome-aigc
A list of awesome AIGC works
awesome-conditional-content-generation
Update-to-data resources for conditional content generation, including human motion generation, image or video generation and editing.
CAT-KD
Class Attention Transfer Based Knowledge Distillation
CVPR23-VNE
Official Implementation of CVPR 2023 paper: "VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution"
DiSK_Distilling_Scaffolded_Knowledge
DiSK: Distilling Scaffolded Knowledge from Teacher to Student.
ETENAS
Enhanced Training-Free Neural Architecture Search (ETE-NAS)
HWD
[ICME-2023] Official implementation for "Holistic Weighted Distillation for Semantic Segmentation".
Knowledge-Distillation
An Efficient Knowledge Distillation Architecture for Real-time Semantic Segmentation
LIMPQ
Official implementation for paper "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"
LMOps
General technology for enabling AI capabilities w/ LLMs and MLLMs
Meta-Distillation-Aware-NAS
Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)
meta-learning-tool
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
model-metrics-plot
🔨🔨🔨(mmplot)used to draw line graphs of multiple index parameters such as algorithm accuracy and speed of multiple deep learning models.
NOSMOG
Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".
OBC
Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".
Point-NN
[CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
RCFD
[ICME-2023] Official implementation for "Accelerating Diffusion Sampling with Classifier-based Feature Distillation".
SadTalker
（CVPR 2023）SadTalker：Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation
SchemaNet-PyTorch
Official PyTorch implementation of paper "Schema Inference for Interpretable Image Classification" (ICLR 2023)
SHOW
This is the codebase for SHOW in Generating Holistic 3D Human Motion from Speech [CVPR2023],
SN-Net
[CVPR 2023] This is the official implementation of "Stitchable Neural Networks".
Torch-Pruning
[CVPR-2023] Towards Any Structural Pruning