[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
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Updated
May 18, 2024 - Python
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
Official Website for the Workshop on Advancing Neural Networks Training: Computational Efficiency, Scalability, and Resource Optimization (WANT@ICML 2024, WANT@NeurIPS 2023)
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.
A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including language and vision, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
Collection of recent methods on (deep) neural network compression and acceleration.
[CVPR 2024] Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis
Efficient Deep Learning Systems course materials (HSE, YSDA)
Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)
Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)
[ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu
Denoising Diffusion Step-aware Models (ICLR2024)
The best collection of AI tutorials to make you a boss of Data Science!
[NeurIPS 2023] Structural Pruning for Diffusion Models
Official implementation of "EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS"
Code for "Language Model Knowledge Distillation for Efficient Question Answering in Spanish" (ICLR 2024 Tiny Papers)
[ICML 2023] Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
[ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.
[IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.
[ICML 2024] CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers.
Official PyTorch training code of Accelerating Deep Neural Networks via Semi-Structured Activation Sparsity (ICCV2023-RCV)
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